comprehensive service & operational analysis (csoa) · and bus sure, the software will...
TRANSCRIPT
Comprehensive Service amp Operational Analysis (CSOA)
1 LUMIPLAN GROUP
Page 2
LUMIPLAN 40 YEARS PROVEN EXPERIENCE
Page 3
Who we are
Lumiplan designs develops and supports
Dynamic Information Solutions for
Public Transports Cities
and public spaces
One of the First
ITS project for
public
information
1st ever
laquo Full colour raquo
outdoor
display
About us
On-board PIS
Planning amp
Scheduling
Smartphone
applications
1 million
downloads
1st
Integrated
maps for
ski resorts
Innovations for Public Transport
First Planning amp Scheduling
projects in India (KSRTC BMTC)
OUR ADVANTAGE
Page 4 ITE - KSRTC
Worldwide expert on ITE related projects
Proven Planning and Scheduling Solution with 100 customer loyalty 100+ successful projects since 20+ years 8 Group Turn Over invested in RampD
Successful Proven Prior pilot project in Mysore Some customizations already done Understanding of STU special requirements
Expertized Teams based in Bangalore Planning and Scheduling team in Bangalore speaking Kannada RampD Centre in Bangalore
Unique usage of latest technologies Google Map Statistical Engine Web Dashboard
Page 5
On-ground Passenger Information
Onboard passenger information and
Fleet management systems
30 000 active LED destination boards
1 500 on-board multimedia screens
6 000 on-ground displays
Lumiplan leader in
public transportation
since 1972
TRANSPORT MOBILITY MADE SIMPLE
Innovations for Public Transport
Better Services to Passenger
Better Security Sustainability
Page 6
TRANSPORT MOBILITY MADE SIMPLE
Lumiplan leader in
dynamic information
since 1972
Innovations for Public Transport
CSOA - PROJECT BACKGROUND
CSOA is the first of its kind implemented in India
Page 7
Comprehensive Services amp Operations Analysis (CSOA) is a World Bank funded project- a part of the GEF funded Technical Assistant Program implemented for
Mysore City Transport Division (MCTD)
Study amp Analysis (6 months)
Implementation amp Monitoring (6 months)
OBJECTIVE OF CSOA
CSOA is intended to set up a platform for a new window approach to improve efficiency of KSRTCrsquos operations at
MCTD Mysore
CSOA- Overview Page 8
Help MCTD to increase ridership in the longer run
Offer better services to citizens of Mysore for the future
CSOA DELIVERABLES
CSOA
Understand Operations
Monitor Service
Performance
Analyze Identify amp Address Issues
Arrive at most
effective model
Enhance amp Improve
Efficiency
Provide most Optimal Service
Understand Mysore Operations- Inception Report Data Collection and Surveys- Data Collection amp Survey
Reports Develop OampM Cost amp Revenue Allocation Model- Cost
Model Report
Develop and Monitor Key Performance Indicators (KPI)- Operations Report
Analysis of Routes- Travel Time amp Route Analysis Report
Review and Optimise Key Business Processes- Business Process Report
Develop Public Transport Model- PT Model Report
Draft Implementation Plan- Implementation Plan Report
Pilot amp Implementation Phase- Final Implementation Report
Page 9
INCEPTION REPORT amp DATA COLLECTION
Page 10
The Inception report was prepared detailing our understanding about MCTD operations and approach to the various tasks
The data collection report included bull Junctions Report
bull Outer Cordon Counts Report
bull OD Report
bull Road Inventory Survey Methodology
bull Road Inventory Survey Report
bull Screen Line Survey Report
bull Speed amp Delay Report
OPERATIONS STUDY
Page 11
Analyze and Understand existing operations
Identify areas which requires fine-tuning
Evolve indicators
Define a systematic workflow
Assist KSRTC to implement recommended KPIs
OB
JE
CT
IVE
PROPOSED INDICATORS
Page 12
Operations related
bull Service Reliability (bench-mark)
bull Service Availability (bench-mark)
bull CBS Departures(bench-mark)
bull Revenue Analysis(bench-mark) Accident Incident and Breakdown Management (trigger values)
bull Passenger Comfort(Assessor Manual)
Vehicle amp Crew related
bull Fuel Efficiency-Vehicle wise KMPL (trigger value)
bull Vehicle Availability (trigger value)
bull Crew Availability (trigger value)
Opera
tio
ns s
tudy
SAMPLE KPI FORMAT amp WORKFLOW
Page 13
Study and understand existing operations
Page 14
KEY TAKEAWAYS
What does this mean to MCTD KPIrsquos suggested are intended for an effective approach for better performance of existing operations and increase operational efficiency Some of the indicators suggested are fine-tuned through User friendly amp Simple formats KPI are designed such that the defined workflows for each of these indicators with appropriate trigger values will help track and monitor operations efficiently These are intended to come out as an effective output of the existing ITS system
EvolveRecommend Key Performance Indicators (KPI)
Opera
tio
ns s
tudy
FULLY ALLOCATED COST amp REVENUE MODEL
15
The objective was to study and arrive at the Operations and Maintenance (OM) cost amp revenue model for operations at
Mysore
The Model was designed to help MCTD determine and monitor scheduleroute-wise operational viability
OB
JE
CT
IVE
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
1 LUMIPLAN GROUP
Page 2
LUMIPLAN 40 YEARS PROVEN EXPERIENCE
Page 3
Who we are
Lumiplan designs develops and supports
Dynamic Information Solutions for
Public Transports Cities
and public spaces
One of the First
ITS project for
public
information
1st ever
laquo Full colour raquo
outdoor
display
About us
On-board PIS
Planning amp
Scheduling
Smartphone
applications
1 million
downloads
1st
Integrated
maps for
ski resorts
Innovations for Public Transport
First Planning amp Scheduling
projects in India (KSRTC BMTC)
OUR ADVANTAGE
Page 4 ITE - KSRTC
Worldwide expert on ITE related projects
Proven Planning and Scheduling Solution with 100 customer loyalty 100+ successful projects since 20+ years 8 Group Turn Over invested in RampD
Successful Proven Prior pilot project in Mysore Some customizations already done Understanding of STU special requirements
Expertized Teams based in Bangalore Planning and Scheduling team in Bangalore speaking Kannada RampD Centre in Bangalore
Unique usage of latest technologies Google Map Statistical Engine Web Dashboard
Page 5
On-ground Passenger Information
Onboard passenger information and
Fleet management systems
30 000 active LED destination boards
1 500 on-board multimedia screens
6 000 on-ground displays
Lumiplan leader in
public transportation
since 1972
TRANSPORT MOBILITY MADE SIMPLE
Innovations for Public Transport
Better Services to Passenger
Better Security Sustainability
Page 6
TRANSPORT MOBILITY MADE SIMPLE
Lumiplan leader in
dynamic information
since 1972
Innovations for Public Transport
CSOA - PROJECT BACKGROUND
CSOA is the first of its kind implemented in India
Page 7
Comprehensive Services amp Operations Analysis (CSOA) is a World Bank funded project- a part of the GEF funded Technical Assistant Program implemented for
Mysore City Transport Division (MCTD)
Study amp Analysis (6 months)
Implementation amp Monitoring (6 months)
OBJECTIVE OF CSOA
CSOA is intended to set up a platform for a new window approach to improve efficiency of KSRTCrsquos operations at
MCTD Mysore
CSOA- Overview Page 8
Help MCTD to increase ridership in the longer run
Offer better services to citizens of Mysore for the future
CSOA DELIVERABLES
CSOA
Understand Operations
Monitor Service
Performance
Analyze Identify amp Address Issues
Arrive at most
effective model
Enhance amp Improve
Efficiency
Provide most Optimal Service
Understand Mysore Operations- Inception Report Data Collection and Surveys- Data Collection amp Survey
Reports Develop OampM Cost amp Revenue Allocation Model- Cost
Model Report
Develop and Monitor Key Performance Indicators (KPI)- Operations Report
Analysis of Routes- Travel Time amp Route Analysis Report
Review and Optimise Key Business Processes- Business Process Report
Develop Public Transport Model- PT Model Report
Draft Implementation Plan- Implementation Plan Report
Pilot amp Implementation Phase- Final Implementation Report
Page 9
INCEPTION REPORT amp DATA COLLECTION
Page 10
The Inception report was prepared detailing our understanding about MCTD operations and approach to the various tasks
The data collection report included bull Junctions Report
bull Outer Cordon Counts Report
bull OD Report
bull Road Inventory Survey Methodology
bull Road Inventory Survey Report
bull Screen Line Survey Report
bull Speed amp Delay Report
OPERATIONS STUDY
Page 11
Analyze and Understand existing operations
Identify areas which requires fine-tuning
Evolve indicators
Define a systematic workflow
Assist KSRTC to implement recommended KPIs
OB
JE
CT
IVE
PROPOSED INDICATORS
Page 12
Operations related
bull Service Reliability (bench-mark)
bull Service Availability (bench-mark)
bull CBS Departures(bench-mark)
bull Revenue Analysis(bench-mark) Accident Incident and Breakdown Management (trigger values)
bull Passenger Comfort(Assessor Manual)
Vehicle amp Crew related
bull Fuel Efficiency-Vehicle wise KMPL (trigger value)
bull Vehicle Availability (trigger value)
bull Crew Availability (trigger value)
Opera
tio
ns s
tudy
SAMPLE KPI FORMAT amp WORKFLOW
Page 13
Study and understand existing operations
Page 14
KEY TAKEAWAYS
What does this mean to MCTD KPIrsquos suggested are intended for an effective approach for better performance of existing operations and increase operational efficiency Some of the indicators suggested are fine-tuned through User friendly amp Simple formats KPI are designed such that the defined workflows for each of these indicators with appropriate trigger values will help track and monitor operations efficiently These are intended to come out as an effective output of the existing ITS system
EvolveRecommend Key Performance Indicators (KPI)
Opera
tio
ns s
tudy
FULLY ALLOCATED COST amp REVENUE MODEL
15
The objective was to study and arrive at the Operations and Maintenance (OM) cost amp revenue model for operations at
Mysore
The Model was designed to help MCTD determine and monitor scheduleroute-wise operational viability
OB
JE
CT
IVE
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
LUMIPLAN 40 YEARS PROVEN EXPERIENCE
Page 3
Who we are
Lumiplan designs develops and supports
Dynamic Information Solutions for
Public Transports Cities
and public spaces
One of the First
ITS project for
public
information
1st ever
laquo Full colour raquo
outdoor
display
About us
On-board PIS
Planning amp
Scheduling
Smartphone
applications
1 million
downloads
1st
Integrated
maps for
ski resorts
Innovations for Public Transport
First Planning amp Scheduling
projects in India (KSRTC BMTC)
OUR ADVANTAGE
Page 4 ITE - KSRTC
Worldwide expert on ITE related projects
Proven Planning and Scheduling Solution with 100 customer loyalty 100+ successful projects since 20+ years 8 Group Turn Over invested in RampD
Successful Proven Prior pilot project in Mysore Some customizations already done Understanding of STU special requirements
Expertized Teams based in Bangalore Planning and Scheduling team in Bangalore speaking Kannada RampD Centre in Bangalore
Unique usage of latest technologies Google Map Statistical Engine Web Dashboard
Page 5
On-ground Passenger Information
Onboard passenger information and
Fleet management systems
30 000 active LED destination boards
1 500 on-board multimedia screens
6 000 on-ground displays
Lumiplan leader in
public transportation
since 1972
TRANSPORT MOBILITY MADE SIMPLE
Innovations for Public Transport
Better Services to Passenger
Better Security Sustainability
Page 6
TRANSPORT MOBILITY MADE SIMPLE
Lumiplan leader in
dynamic information
since 1972
Innovations for Public Transport
CSOA - PROJECT BACKGROUND
CSOA is the first of its kind implemented in India
Page 7
Comprehensive Services amp Operations Analysis (CSOA) is a World Bank funded project- a part of the GEF funded Technical Assistant Program implemented for
Mysore City Transport Division (MCTD)
Study amp Analysis (6 months)
Implementation amp Monitoring (6 months)
OBJECTIVE OF CSOA
CSOA is intended to set up a platform for a new window approach to improve efficiency of KSRTCrsquos operations at
MCTD Mysore
CSOA- Overview Page 8
Help MCTD to increase ridership in the longer run
Offer better services to citizens of Mysore for the future
CSOA DELIVERABLES
CSOA
Understand Operations
Monitor Service
Performance
Analyze Identify amp Address Issues
Arrive at most
effective model
Enhance amp Improve
Efficiency
Provide most Optimal Service
Understand Mysore Operations- Inception Report Data Collection and Surveys- Data Collection amp Survey
Reports Develop OampM Cost amp Revenue Allocation Model- Cost
Model Report
Develop and Monitor Key Performance Indicators (KPI)- Operations Report
Analysis of Routes- Travel Time amp Route Analysis Report
Review and Optimise Key Business Processes- Business Process Report
Develop Public Transport Model- PT Model Report
Draft Implementation Plan- Implementation Plan Report
Pilot amp Implementation Phase- Final Implementation Report
Page 9
INCEPTION REPORT amp DATA COLLECTION
Page 10
The Inception report was prepared detailing our understanding about MCTD operations and approach to the various tasks
The data collection report included bull Junctions Report
bull Outer Cordon Counts Report
bull OD Report
bull Road Inventory Survey Methodology
bull Road Inventory Survey Report
bull Screen Line Survey Report
bull Speed amp Delay Report
OPERATIONS STUDY
Page 11
Analyze and Understand existing operations
Identify areas which requires fine-tuning
Evolve indicators
Define a systematic workflow
Assist KSRTC to implement recommended KPIs
OB
JE
CT
IVE
PROPOSED INDICATORS
Page 12
Operations related
bull Service Reliability (bench-mark)
bull Service Availability (bench-mark)
bull CBS Departures(bench-mark)
bull Revenue Analysis(bench-mark) Accident Incident and Breakdown Management (trigger values)
bull Passenger Comfort(Assessor Manual)
Vehicle amp Crew related
bull Fuel Efficiency-Vehicle wise KMPL (trigger value)
bull Vehicle Availability (trigger value)
bull Crew Availability (trigger value)
Opera
tio
ns s
tudy
SAMPLE KPI FORMAT amp WORKFLOW
Page 13
Study and understand existing operations
Page 14
KEY TAKEAWAYS
What does this mean to MCTD KPIrsquos suggested are intended for an effective approach for better performance of existing operations and increase operational efficiency Some of the indicators suggested are fine-tuned through User friendly amp Simple formats KPI are designed such that the defined workflows for each of these indicators with appropriate trigger values will help track and monitor operations efficiently These are intended to come out as an effective output of the existing ITS system
EvolveRecommend Key Performance Indicators (KPI)
Opera
tio
ns s
tudy
FULLY ALLOCATED COST amp REVENUE MODEL
15
The objective was to study and arrive at the Operations and Maintenance (OM) cost amp revenue model for operations at
Mysore
The Model was designed to help MCTD determine and monitor scheduleroute-wise operational viability
OB
JE
CT
IVE
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
OUR ADVANTAGE
Page 4 ITE - KSRTC
Worldwide expert on ITE related projects
Proven Planning and Scheduling Solution with 100 customer loyalty 100+ successful projects since 20+ years 8 Group Turn Over invested in RampD
Successful Proven Prior pilot project in Mysore Some customizations already done Understanding of STU special requirements
Expertized Teams based in Bangalore Planning and Scheduling team in Bangalore speaking Kannada RampD Centre in Bangalore
Unique usage of latest technologies Google Map Statistical Engine Web Dashboard
Page 5
On-ground Passenger Information
Onboard passenger information and
Fleet management systems
30 000 active LED destination boards
1 500 on-board multimedia screens
6 000 on-ground displays
Lumiplan leader in
public transportation
since 1972
TRANSPORT MOBILITY MADE SIMPLE
Innovations for Public Transport
Better Services to Passenger
Better Security Sustainability
Page 6
TRANSPORT MOBILITY MADE SIMPLE
Lumiplan leader in
dynamic information
since 1972
Innovations for Public Transport
CSOA - PROJECT BACKGROUND
CSOA is the first of its kind implemented in India
Page 7
Comprehensive Services amp Operations Analysis (CSOA) is a World Bank funded project- a part of the GEF funded Technical Assistant Program implemented for
Mysore City Transport Division (MCTD)
Study amp Analysis (6 months)
Implementation amp Monitoring (6 months)
OBJECTIVE OF CSOA
CSOA is intended to set up a platform for a new window approach to improve efficiency of KSRTCrsquos operations at
MCTD Mysore
CSOA- Overview Page 8
Help MCTD to increase ridership in the longer run
Offer better services to citizens of Mysore for the future
CSOA DELIVERABLES
CSOA
Understand Operations
Monitor Service
Performance
Analyze Identify amp Address Issues
Arrive at most
effective model
Enhance amp Improve
Efficiency
Provide most Optimal Service
Understand Mysore Operations- Inception Report Data Collection and Surveys- Data Collection amp Survey
Reports Develop OampM Cost amp Revenue Allocation Model- Cost
Model Report
Develop and Monitor Key Performance Indicators (KPI)- Operations Report
Analysis of Routes- Travel Time amp Route Analysis Report
Review and Optimise Key Business Processes- Business Process Report
Develop Public Transport Model- PT Model Report
Draft Implementation Plan- Implementation Plan Report
Pilot amp Implementation Phase- Final Implementation Report
Page 9
INCEPTION REPORT amp DATA COLLECTION
Page 10
The Inception report was prepared detailing our understanding about MCTD operations and approach to the various tasks
The data collection report included bull Junctions Report
bull Outer Cordon Counts Report
bull OD Report
bull Road Inventory Survey Methodology
bull Road Inventory Survey Report
bull Screen Line Survey Report
bull Speed amp Delay Report
OPERATIONS STUDY
Page 11
Analyze and Understand existing operations
Identify areas which requires fine-tuning
Evolve indicators
Define a systematic workflow
Assist KSRTC to implement recommended KPIs
OB
JE
CT
IVE
PROPOSED INDICATORS
Page 12
Operations related
bull Service Reliability (bench-mark)
bull Service Availability (bench-mark)
bull CBS Departures(bench-mark)
bull Revenue Analysis(bench-mark) Accident Incident and Breakdown Management (trigger values)
bull Passenger Comfort(Assessor Manual)
Vehicle amp Crew related
bull Fuel Efficiency-Vehicle wise KMPL (trigger value)
bull Vehicle Availability (trigger value)
bull Crew Availability (trigger value)
Opera
tio
ns s
tudy
SAMPLE KPI FORMAT amp WORKFLOW
Page 13
Study and understand existing operations
Page 14
KEY TAKEAWAYS
What does this mean to MCTD KPIrsquos suggested are intended for an effective approach for better performance of existing operations and increase operational efficiency Some of the indicators suggested are fine-tuned through User friendly amp Simple formats KPI are designed such that the defined workflows for each of these indicators with appropriate trigger values will help track and monitor operations efficiently These are intended to come out as an effective output of the existing ITS system
EvolveRecommend Key Performance Indicators (KPI)
Opera
tio
ns s
tudy
FULLY ALLOCATED COST amp REVENUE MODEL
15
The objective was to study and arrive at the Operations and Maintenance (OM) cost amp revenue model for operations at
Mysore
The Model was designed to help MCTD determine and monitor scheduleroute-wise operational viability
OB
JE
CT
IVE
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
Page 5
On-ground Passenger Information
Onboard passenger information and
Fleet management systems
30 000 active LED destination boards
1 500 on-board multimedia screens
6 000 on-ground displays
Lumiplan leader in
public transportation
since 1972
TRANSPORT MOBILITY MADE SIMPLE
Innovations for Public Transport
Better Services to Passenger
Better Security Sustainability
Page 6
TRANSPORT MOBILITY MADE SIMPLE
Lumiplan leader in
dynamic information
since 1972
Innovations for Public Transport
CSOA - PROJECT BACKGROUND
CSOA is the first of its kind implemented in India
Page 7
Comprehensive Services amp Operations Analysis (CSOA) is a World Bank funded project- a part of the GEF funded Technical Assistant Program implemented for
Mysore City Transport Division (MCTD)
Study amp Analysis (6 months)
Implementation amp Monitoring (6 months)
OBJECTIVE OF CSOA
CSOA is intended to set up a platform for a new window approach to improve efficiency of KSRTCrsquos operations at
MCTD Mysore
CSOA- Overview Page 8
Help MCTD to increase ridership in the longer run
Offer better services to citizens of Mysore for the future
CSOA DELIVERABLES
CSOA
Understand Operations
Monitor Service
Performance
Analyze Identify amp Address Issues
Arrive at most
effective model
Enhance amp Improve
Efficiency
Provide most Optimal Service
Understand Mysore Operations- Inception Report Data Collection and Surveys- Data Collection amp Survey
Reports Develop OampM Cost amp Revenue Allocation Model- Cost
Model Report
Develop and Monitor Key Performance Indicators (KPI)- Operations Report
Analysis of Routes- Travel Time amp Route Analysis Report
Review and Optimise Key Business Processes- Business Process Report
Develop Public Transport Model- PT Model Report
Draft Implementation Plan- Implementation Plan Report
Pilot amp Implementation Phase- Final Implementation Report
Page 9
INCEPTION REPORT amp DATA COLLECTION
Page 10
The Inception report was prepared detailing our understanding about MCTD operations and approach to the various tasks
The data collection report included bull Junctions Report
bull Outer Cordon Counts Report
bull OD Report
bull Road Inventory Survey Methodology
bull Road Inventory Survey Report
bull Screen Line Survey Report
bull Speed amp Delay Report
OPERATIONS STUDY
Page 11
Analyze and Understand existing operations
Identify areas which requires fine-tuning
Evolve indicators
Define a systematic workflow
Assist KSRTC to implement recommended KPIs
OB
JE
CT
IVE
PROPOSED INDICATORS
Page 12
Operations related
bull Service Reliability (bench-mark)
bull Service Availability (bench-mark)
bull CBS Departures(bench-mark)
bull Revenue Analysis(bench-mark) Accident Incident and Breakdown Management (trigger values)
bull Passenger Comfort(Assessor Manual)
Vehicle amp Crew related
bull Fuel Efficiency-Vehicle wise KMPL (trigger value)
bull Vehicle Availability (trigger value)
bull Crew Availability (trigger value)
Opera
tio
ns s
tudy
SAMPLE KPI FORMAT amp WORKFLOW
Page 13
Study and understand existing operations
Page 14
KEY TAKEAWAYS
What does this mean to MCTD KPIrsquos suggested are intended for an effective approach for better performance of existing operations and increase operational efficiency Some of the indicators suggested are fine-tuned through User friendly amp Simple formats KPI are designed such that the defined workflows for each of these indicators with appropriate trigger values will help track and monitor operations efficiently These are intended to come out as an effective output of the existing ITS system
EvolveRecommend Key Performance Indicators (KPI)
Opera
tio
ns s
tudy
FULLY ALLOCATED COST amp REVENUE MODEL
15
The objective was to study and arrive at the Operations and Maintenance (OM) cost amp revenue model for operations at
Mysore
The Model was designed to help MCTD determine and monitor scheduleroute-wise operational viability
OB
JE
CT
IVE
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
Better Services to Passenger
Better Security Sustainability
Page 6
TRANSPORT MOBILITY MADE SIMPLE
Lumiplan leader in
dynamic information
since 1972
Innovations for Public Transport
CSOA - PROJECT BACKGROUND
CSOA is the first of its kind implemented in India
Page 7
Comprehensive Services amp Operations Analysis (CSOA) is a World Bank funded project- a part of the GEF funded Technical Assistant Program implemented for
Mysore City Transport Division (MCTD)
Study amp Analysis (6 months)
Implementation amp Monitoring (6 months)
OBJECTIVE OF CSOA
CSOA is intended to set up a platform for a new window approach to improve efficiency of KSRTCrsquos operations at
MCTD Mysore
CSOA- Overview Page 8
Help MCTD to increase ridership in the longer run
Offer better services to citizens of Mysore for the future
CSOA DELIVERABLES
CSOA
Understand Operations
Monitor Service
Performance
Analyze Identify amp Address Issues
Arrive at most
effective model
Enhance amp Improve
Efficiency
Provide most Optimal Service
Understand Mysore Operations- Inception Report Data Collection and Surveys- Data Collection amp Survey
Reports Develop OampM Cost amp Revenue Allocation Model- Cost
Model Report
Develop and Monitor Key Performance Indicators (KPI)- Operations Report
Analysis of Routes- Travel Time amp Route Analysis Report
Review and Optimise Key Business Processes- Business Process Report
Develop Public Transport Model- PT Model Report
Draft Implementation Plan- Implementation Plan Report
Pilot amp Implementation Phase- Final Implementation Report
Page 9
INCEPTION REPORT amp DATA COLLECTION
Page 10
The Inception report was prepared detailing our understanding about MCTD operations and approach to the various tasks
The data collection report included bull Junctions Report
bull Outer Cordon Counts Report
bull OD Report
bull Road Inventory Survey Methodology
bull Road Inventory Survey Report
bull Screen Line Survey Report
bull Speed amp Delay Report
OPERATIONS STUDY
Page 11
Analyze and Understand existing operations
Identify areas which requires fine-tuning
Evolve indicators
Define a systematic workflow
Assist KSRTC to implement recommended KPIs
OB
JE
CT
IVE
PROPOSED INDICATORS
Page 12
Operations related
bull Service Reliability (bench-mark)
bull Service Availability (bench-mark)
bull CBS Departures(bench-mark)
bull Revenue Analysis(bench-mark) Accident Incident and Breakdown Management (trigger values)
bull Passenger Comfort(Assessor Manual)
Vehicle amp Crew related
bull Fuel Efficiency-Vehicle wise KMPL (trigger value)
bull Vehicle Availability (trigger value)
bull Crew Availability (trigger value)
Opera
tio
ns s
tudy
SAMPLE KPI FORMAT amp WORKFLOW
Page 13
Study and understand existing operations
Page 14
KEY TAKEAWAYS
What does this mean to MCTD KPIrsquos suggested are intended for an effective approach for better performance of existing operations and increase operational efficiency Some of the indicators suggested are fine-tuned through User friendly amp Simple formats KPI are designed such that the defined workflows for each of these indicators with appropriate trigger values will help track and monitor operations efficiently These are intended to come out as an effective output of the existing ITS system
EvolveRecommend Key Performance Indicators (KPI)
Opera
tio
ns s
tudy
FULLY ALLOCATED COST amp REVENUE MODEL
15
The objective was to study and arrive at the Operations and Maintenance (OM) cost amp revenue model for operations at
Mysore
The Model was designed to help MCTD determine and monitor scheduleroute-wise operational viability
OB
JE
CT
IVE
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
CSOA - PROJECT BACKGROUND
CSOA is the first of its kind implemented in India
Page 7
Comprehensive Services amp Operations Analysis (CSOA) is a World Bank funded project- a part of the GEF funded Technical Assistant Program implemented for
Mysore City Transport Division (MCTD)
Study amp Analysis (6 months)
Implementation amp Monitoring (6 months)
OBJECTIVE OF CSOA
CSOA is intended to set up a platform for a new window approach to improve efficiency of KSRTCrsquos operations at
MCTD Mysore
CSOA- Overview Page 8
Help MCTD to increase ridership in the longer run
Offer better services to citizens of Mysore for the future
CSOA DELIVERABLES
CSOA
Understand Operations
Monitor Service
Performance
Analyze Identify amp Address Issues
Arrive at most
effective model
Enhance amp Improve
Efficiency
Provide most Optimal Service
Understand Mysore Operations- Inception Report Data Collection and Surveys- Data Collection amp Survey
Reports Develop OampM Cost amp Revenue Allocation Model- Cost
Model Report
Develop and Monitor Key Performance Indicators (KPI)- Operations Report
Analysis of Routes- Travel Time amp Route Analysis Report
Review and Optimise Key Business Processes- Business Process Report
Develop Public Transport Model- PT Model Report
Draft Implementation Plan- Implementation Plan Report
Pilot amp Implementation Phase- Final Implementation Report
Page 9
INCEPTION REPORT amp DATA COLLECTION
Page 10
The Inception report was prepared detailing our understanding about MCTD operations and approach to the various tasks
The data collection report included bull Junctions Report
bull Outer Cordon Counts Report
bull OD Report
bull Road Inventory Survey Methodology
bull Road Inventory Survey Report
bull Screen Line Survey Report
bull Speed amp Delay Report
OPERATIONS STUDY
Page 11
Analyze and Understand existing operations
Identify areas which requires fine-tuning
Evolve indicators
Define a systematic workflow
Assist KSRTC to implement recommended KPIs
OB
JE
CT
IVE
PROPOSED INDICATORS
Page 12
Operations related
bull Service Reliability (bench-mark)
bull Service Availability (bench-mark)
bull CBS Departures(bench-mark)
bull Revenue Analysis(bench-mark) Accident Incident and Breakdown Management (trigger values)
bull Passenger Comfort(Assessor Manual)
Vehicle amp Crew related
bull Fuel Efficiency-Vehicle wise KMPL (trigger value)
bull Vehicle Availability (trigger value)
bull Crew Availability (trigger value)
Opera
tio
ns s
tudy
SAMPLE KPI FORMAT amp WORKFLOW
Page 13
Study and understand existing operations
Page 14
KEY TAKEAWAYS
What does this mean to MCTD KPIrsquos suggested are intended for an effective approach for better performance of existing operations and increase operational efficiency Some of the indicators suggested are fine-tuned through User friendly amp Simple formats KPI are designed such that the defined workflows for each of these indicators with appropriate trigger values will help track and monitor operations efficiently These are intended to come out as an effective output of the existing ITS system
EvolveRecommend Key Performance Indicators (KPI)
Opera
tio
ns s
tudy
FULLY ALLOCATED COST amp REVENUE MODEL
15
The objective was to study and arrive at the Operations and Maintenance (OM) cost amp revenue model for operations at
Mysore
The Model was designed to help MCTD determine and monitor scheduleroute-wise operational viability
OB
JE
CT
IVE
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
OBJECTIVE OF CSOA
CSOA is intended to set up a platform for a new window approach to improve efficiency of KSRTCrsquos operations at
MCTD Mysore
CSOA- Overview Page 8
Help MCTD to increase ridership in the longer run
Offer better services to citizens of Mysore for the future
CSOA DELIVERABLES
CSOA
Understand Operations
Monitor Service
Performance
Analyze Identify amp Address Issues
Arrive at most
effective model
Enhance amp Improve
Efficiency
Provide most Optimal Service
Understand Mysore Operations- Inception Report Data Collection and Surveys- Data Collection amp Survey
Reports Develop OampM Cost amp Revenue Allocation Model- Cost
Model Report
Develop and Monitor Key Performance Indicators (KPI)- Operations Report
Analysis of Routes- Travel Time amp Route Analysis Report
Review and Optimise Key Business Processes- Business Process Report
Develop Public Transport Model- PT Model Report
Draft Implementation Plan- Implementation Plan Report
Pilot amp Implementation Phase- Final Implementation Report
Page 9
INCEPTION REPORT amp DATA COLLECTION
Page 10
The Inception report was prepared detailing our understanding about MCTD operations and approach to the various tasks
The data collection report included bull Junctions Report
bull Outer Cordon Counts Report
bull OD Report
bull Road Inventory Survey Methodology
bull Road Inventory Survey Report
bull Screen Line Survey Report
bull Speed amp Delay Report
OPERATIONS STUDY
Page 11
Analyze and Understand existing operations
Identify areas which requires fine-tuning
Evolve indicators
Define a systematic workflow
Assist KSRTC to implement recommended KPIs
OB
JE
CT
IVE
PROPOSED INDICATORS
Page 12
Operations related
bull Service Reliability (bench-mark)
bull Service Availability (bench-mark)
bull CBS Departures(bench-mark)
bull Revenue Analysis(bench-mark) Accident Incident and Breakdown Management (trigger values)
bull Passenger Comfort(Assessor Manual)
Vehicle amp Crew related
bull Fuel Efficiency-Vehicle wise KMPL (trigger value)
bull Vehicle Availability (trigger value)
bull Crew Availability (trigger value)
Opera
tio
ns s
tudy
SAMPLE KPI FORMAT amp WORKFLOW
Page 13
Study and understand existing operations
Page 14
KEY TAKEAWAYS
What does this mean to MCTD KPIrsquos suggested are intended for an effective approach for better performance of existing operations and increase operational efficiency Some of the indicators suggested are fine-tuned through User friendly amp Simple formats KPI are designed such that the defined workflows for each of these indicators with appropriate trigger values will help track and monitor operations efficiently These are intended to come out as an effective output of the existing ITS system
EvolveRecommend Key Performance Indicators (KPI)
Opera
tio
ns s
tudy
FULLY ALLOCATED COST amp REVENUE MODEL
15
The objective was to study and arrive at the Operations and Maintenance (OM) cost amp revenue model for operations at
Mysore
The Model was designed to help MCTD determine and monitor scheduleroute-wise operational viability
OB
JE
CT
IVE
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
CSOA DELIVERABLES
CSOA
Understand Operations
Monitor Service
Performance
Analyze Identify amp Address Issues
Arrive at most
effective model
Enhance amp Improve
Efficiency
Provide most Optimal Service
Understand Mysore Operations- Inception Report Data Collection and Surveys- Data Collection amp Survey
Reports Develop OampM Cost amp Revenue Allocation Model- Cost
Model Report
Develop and Monitor Key Performance Indicators (KPI)- Operations Report
Analysis of Routes- Travel Time amp Route Analysis Report
Review and Optimise Key Business Processes- Business Process Report
Develop Public Transport Model- PT Model Report
Draft Implementation Plan- Implementation Plan Report
Pilot amp Implementation Phase- Final Implementation Report
Page 9
INCEPTION REPORT amp DATA COLLECTION
Page 10
The Inception report was prepared detailing our understanding about MCTD operations and approach to the various tasks
The data collection report included bull Junctions Report
bull Outer Cordon Counts Report
bull OD Report
bull Road Inventory Survey Methodology
bull Road Inventory Survey Report
bull Screen Line Survey Report
bull Speed amp Delay Report
OPERATIONS STUDY
Page 11
Analyze and Understand existing operations
Identify areas which requires fine-tuning
Evolve indicators
Define a systematic workflow
Assist KSRTC to implement recommended KPIs
OB
JE
CT
IVE
PROPOSED INDICATORS
Page 12
Operations related
bull Service Reliability (bench-mark)
bull Service Availability (bench-mark)
bull CBS Departures(bench-mark)
bull Revenue Analysis(bench-mark) Accident Incident and Breakdown Management (trigger values)
bull Passenger Comfort(Assessor Manual)
Vehicle amp Crew related
bull Fuel Efficiency-Vehicle wise KMPL (trigger value)
bull Vehicle Availability (trigger value)
bull Crew Availability (trigger value)
Opera
tio
ns s
tudy
SAMPLE KPI FORMAT amp WORKFLOW
Page 13
Study and understand existing operations
Page 14
KEY TAKEAWAYS
What does this mean to MCTD KPIrsquos suggested are intended for an effective approach for better performance of existing operations and increase operational efficiency Some of the indicators suggested are fine-tuned through User friendly amp Simple formats KPI are designed such that the defined workflows for each of these indicators with appropriate trigger values will help track and monitor operations efficiently These are intended to come out as an effective output of the existing ITS system
EvolveRecommend Key Performance Indicators (KPI)
Opera
tio
ns s
tudy
FULLY ALLOCATED COST amp REVENUE MODEL
15
The objective was to study and arrive at the Operations and Maintenance (OM) cost amp revenue model for operations at
Mysore
The Model was designed to help MCTD determine and monitor scheduleroute-wise operational viability
OB
JE
CT
IVE
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
INCEPTION REPORT amp DATA COLLECTION
Page 10
The Inception report was prepared detailing our understanding about MCTD operations and approach to the various tasks
The data collection report included bull Junctions Report
bull Outer Cordon Counts Report
bull OD Report
bull Road Inventory Survey Methodology
bull Road Inventory Survey Report
bull Screen Line Survey Report
bull Speed amp Delay Report
OPERATIONS STUDY
Page 11
Analyze and Understand existing operations
Identify areas which requires fine-tuning
Evolve indicators
Define a systematic workflow
Assist KSRTC to implement recommended KPIs
OB
JE
CT
IVE
PROPOSED INDICATORS
Page 12
Operations related
bull Service Reliability (bench-mark)
bull Service Availability (bench-mark)
bull CBS Departures(bench-mark)
bull Revenue Analysis(bench-mark) Accident Incident and Breakdown Management (trigger values)
bull Passenger Comfort(Assessor Manual)
Vehicle amp Crew related
bull Fuel Efficiency-Vehicle wise KMPL (trigger value)
bull Vehicle Availability (trigger value)
bull Crew Availability (trigger value)
Opera
tio
ns s
tudy
SAMPLE KPI FORMAT amp WORKFLOW
Page 13
Study and understand existing operations
Page 14
KEY TAKEAWAYS
What does this mean to MCTD KPIrsquos suggested are intended for an effective approach for better performance of existing operations and increase operational efficiency Some of the indicators suggested are fine-tuned through User friendly amp Simple formats KPI are designed such that the defined workflows for each of these indicators with appropriate trigger values will help track and monitor operations efficiently These are intended to come out as an effective output of the existing ITS system
EvolveRecommend Key Performance Indicators (KPI)
Opera
tio
ns s
tudy
FULLY ALLOCATED COST amp REVENUE MODEL
15
The objective was to study and arrive at the Operations and Maintenance (OM) cost amp revenue model for operations at
Mysore
The Model was designed to help MCTD determine and monitor scheduleroute-wise operational viability
OB
JE
CT
IVE
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
OPERATIONS STUDY
Page 11
Analyze and Understand existing operations
Identify areas which requires fine-tuning
Evolve indicators
Define a systematic workflow
Assist KSRTC to implement recommended KPIs
OB
JE
CT
IVE
PROPOSED INDICATORS
Page 12
Operations related
bull Service Reliability (bench-mark)
bull Service Availability (bench-mark)
bull CBS Departures(bench-mark)
bull Revenue Analysis(bench-mark) Accident Incident and Breakdown Management (trigger values)
bull Passenger Comfort(Assessor Manual)
Vehicle amp Crew related
bull Fuel Efficiency-Vehicle wise KMPL (trigger value)
bull Vehicle Availability (trigger value)
bull Crew Availability (trigger value)
Opera
tio
ns s
tudy
SAMPLE KPI FORMAT amp WORKFLOW
Page 13
Study and understand existing operations
Page 14
KEY TAKEAWAYS
What does this mean to MCTD KPIrsquos suggested are intended for an effective approach for better performance of existing operations and increase operational efficiency Some of the indicators suggested are fine-tuned through User friendly amp Simple formats KPI are designed such that the defined workflows for each of these indicators with appropriate trigger values will help track and monitor operations efficiently These are intended to come out as an effective output of the existing ITS system
EvolveRecommend Key Performance Indicators (KPI)
Opera
tio
ns s
tudy
FULLY ALLOCATED COST amp REVENUE MODEL
15
The objective was to study and arrive at the Operations and Maintenance (OM) cost amp revenue model for operations at
Mysore
The Model was designed to help MCTD determine and monitor scheduleroute-wise operational viability
OB
JE
CT
IVE
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
PROPOSED INDICATORS
Page 12
Operations related
bull Service Reliability (bench-mark)
bull Service Availability (bench-mark)
bull CBS Departures(bench-mark)
bull Revenue Analysis(bench-mark) Accident Incident and Breakdown Management (trigger values)
bull Passenger Comfort(Assessor Manual)
Vehicle amp Crew related
bull Fuel Efficiency-Vehicle wise KMPL (trigger value)
bull Vehicle Availability (trigger value)
bull Crew Availability (trigger value)
Opera
tio
ns s
tudy
SAMPLE KPI FORMAT amp WORKFLOW
Page 13
Study and understand existing operations
Page 14
KEY TAKEAWAYS
What does this mean to MCTD KPIrsquos suggested are intended for an effective approach for better performance of existing operations and increase operational efficiency Some of the indicators suggested are fine-tuned through User friendly amp Simple formats KPI are designed such that the defined workflows for each of these indicators with appropriate trigger values will help track and monitor operations efficiently These are intended to come out as an effective output of the existing ITS system
EvolveRecommend Key Performance Indicators (KPI)
Opera
tio
ns s
tudy
FULLY ALLOCATED COST amp REVENUE MODEL
15
The objective was to study and arrive at the Operations and Maintenance (OM) cost amp revenue model for operations at
Mysore
The Model was designed to help MCTD determine and monitor scheduleroute-wise operational viability
OB
JE
CT
IVE
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
SAMPLE KPI FORMAT amp WORKFLOW
Page 13
Study and understand existing operations
Page 14
KEY TAKEAWAYS
What does this mean to MCTD KPIrsquos suggested are intended for an effective approach for better performance of existing operations and increase operational efficiency Some of the indicators suggested are fine-tuned through User friendly amp Simple formats KPI are designed such that the defined workflows for each of these indicators with appropriate trigger values will help track and monitor operations efficiently These are intended to come out as an effective output of the existing ITS system
EvolveRecommend Key Performance Indicators (KPI)
Opera
tio
ns s
tudy
FULLY ALLOCATED COST amp REVENUE MODEL
15
The objective was to study and arrive at the Operations and Maintenance (OM) cost amp revenue model for operations at
Mysore
The Model was designed to help MCTD determine and monitor scheduleroute-wise operational viability
OB
JE
CT
IVE
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
Study and understand existing operations
Page 14
KEY TAKEAWAYS
What does this mean to MCTD KPIrsquos suggested are intended for an effective approach for better performance of existing operations and increase operational efficiency Some of the indicators suggested are fine-tuned through User friendly amp Simple formats KPI are designed such that the defined workflows for each of these indicators with appropriate trigger values will help track and monitor operations efficiently These are intended to come out as an effective output of the existing ITS system
EvolveRecommend Key Performance Indicators (KPI)
Opera
tio
ns s
tudy
FULLY ALLOCATED COST amp REVENUE MODEL
15
The objective was to study and arrive at the Operations and Maintenance (OM) cost amp revenue model for operations at
Mysore
The Model was designed to help MCTD determine and monitor scheduleroute-wise operational viability
OB
JE
CT
IVE
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
FULLY ALLOCATED COST amp REVENUE MODEL
15
The objective was to study and arrive at the Operations and Maintenance (OM) cost amp revenue model for operations at
Mysore
The Model was designed to help MCTD determine and monitor scheduleroute-wise operational viability
OB
JE
CT
IVE
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
TYPICAL MODEL OUTPUT
16
Cost amp
Revenue M
odel
Typical model output showing schedule-wise cost and revenue break-up for a particular month
Various scenarios tested- exceeding project requirements
Schedule-wise operational viability optimum bus type Impact of new route added to sector effect of salary hike and farefuel price variations
Variable Cost
Fixed Cost
CPKM
EPKM
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
KEY TAKEAWAYS
17
Cost amp
Revenue M
odel To prepare a Fully Allocated Operation and Maintenance Cost amp Revenue
Model for MCTD Mysore
What does this mean to MCTD Currently MCTDKSRTC do not have an operating ldquocostrevenue modelrdquo The model would serve as a tool to track ldquooperational viabilityrdquo at the schedule
level Effects of change in serviceaddition of new route to sector could be tested ldquoTrade offsrdquo between SingleDouble crew can be tested Impacts of Salary hike FareFuel price variations could also be tested Performance of each Depot and the Division as a whole is available on a single
sheet Can act as an effective ldquoOperationalFinancial Dashboardrdquo
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
ROUTE PROFILE ANALYSIS
OB
JE
CT
IVE
Analyze all routes and schedules
Classify routes as performing and non-performing
Give suitable recommendations
Test recommendations by implementation
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
SAMPLE OUTPUTS FOR ROUTE 51 IN MAY 2014
19
0
200
400
600
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
No
of
Trip
s
Hours of the day
Hourly variation of No of Trips in May 2014
0
50000
100000
150000
200000
50
0
70
0
90
0
11
00
13
00
15
00
17
00
19
00
21
00
Re
ven
ue
Hours of the day
Hourly variation of Revenue in May 2014
0200400600800
1000
No
of
Trip
s
No of Trips for all days of week for May 2014
0
100000
200000
300000
400000
Re
ven
ue
Revenue for all days of week for May 2014
0
20
40
60
EPK
M
Hours of the day
Hourly variation of EPKM in May 2014
01020304050
EPK
M
EPKM for all days of week for May 2014
Route
pro
file
analy
sis
The routes and schedules are analyzed for each hour of the day to days across the week wrt their indicators
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
Screenshot of sector profile of routes catering from City Bus Stand (CBS) to south -Mysore named as the ldquoJP Nagarrdquo sector
20
Route
pro
file
analy
sis
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
KEY TAKEAWAYS
Page 21
Route
pro
file
analy
sis
To assist KSRTCMCTD on how to analyze and improve sector performance and efficiency
What does this mean to MCTD All routessub-routesschedules categorized into ldquosectorsrdquo based on their geographical location Each sector is analyzed individually and routes within are classified as performing and non-performing routes Optimization ldquosolution-toolkitrdquo recommended based on a detailed analysis of each schedule sector wise A new indicator called ldquoConsistency Indexrdquo developed to monitor consistency in sector performance over a period
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
BUSINESS PROCESS RE-ENGINEERING
22
OB
JE
CT
IVE
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
23
STRATEGY MAP
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
RECOMMENDATIONS- SHORT TERM
24
Busin
ess p
rocess r
e-e
ngin
eering
Planning amp Operations- Efficient planning tools
Information base- MIS reports
Operational aspects- improvements in reliability cancellation reduction punctuality
Human resources- training of personnel
Infrastructure- New proposals (bus stops) Depot level changes
Branding and communication- Advertising Sector Maps timetables- Information dissemination
Financial- Use of Cost ModelPT Model
Suggestions on new routes
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
RECOMMENDATIONS-MEDIUM TERM
Integrate ITS and Depot Computerization System (DCS) to bring about fundamental change from the current manual system to a system entirely based on GPS based inputs of computing vehicle kilometers and all other dependent processes of day to day operations
Staff training for the transition from manual systems to ITS based systems
Page 25
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
RECOMMENDATIONS-MEDIUM TERM
Designing a simple but effective dashboard for Depot Managers and Divisional Office authorities to follow operations statistics in a user friendly manner
Page 26
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
RECOMMENDATIONS-MEDIUM TERM
Consultations with RTO MCC MUDA Police
Regular interactions between major
stakeholders and consultants to improve
efficiency of operations
Stakeholder Interactions
Page 27
Busin
ess p
rocess r
e-e
ngin
eering
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
RECOMMENDATIONS ndash LONG TERM
Complaints and feedback mechanism - this can be worked out by providing online data-sheets and as well as Kiosks with touch screen mechanism with details of the trip bus no route no and timings and as well as ticket number
The smart card usage in fare collection process to be progressively introduced The key areas would be student passes various types of monthly passes etc
Page 28
Busin
ess p
rocess r
e-e
ngin
eering
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
PUBLIC TRANSPORT (PT) MODEL
Page 29
Links land use with transportation
Models city wide transportation-includes cars 2-wheelers auto-rickshaws and buses
Entire road network is included in the model on which all bus routes are coded
Conventional four stage transport modelling
Model tests changes in alignment merging of routes new routes extensions
Forecasts travel demand for future based on land use and employment development
Final set of recommendations to improve ridership
OB
JE
CT
IVE
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
OPTIONS TESTED
Page 30
Public
Tra
nspo
rt (
PT
) M
odel
Recommendation from Route
Analysis report
ABC Report ndash Performing amp Non-Performing Routes
MergingLinking of Routes
Testing of New Routes
Augmentation of Buses (2019)
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
KEY TAKEAWAYS
Page 31
Public
Tra
nspo
rt (
PT
) M
odel
The objective of the Public Transport Model is to predict the travel patterns and modal shares under different land-use and public transport scenarios
in order to test various options
What does this mean to MCTD Currently there is no ldquoModelling Toolrdquo available to plan the existing operations
and forecast the same to cater future needs This model considers changes in land use and travel patterns and also considers
the travel and competition from other modes and street congestion
This Planning tool gives an understanding of the ldquoOn-Groundrdquo situation both in the present and future
The model is capable of testing various scenarios which otherwise seem challenging to test in practical conditions
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
CSOA OUTPUTS
Page 32
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
NETWORK DIGITALISATION amp MANAGEMENT
Page 33 Innovations for Public Transport
Digitalize configure routes using mapping technology
Optimize non-commercial KMs and connectivity
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
TRAFFIC ANALYSIS
Page 34 Innovations for Public Transport
Statistical analysis of travel times depending on hour of the day
Based on real-time actual data (GPS or Manual)
-gt integrated into schedules production
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
DEMAND AND REVENUE ANALYSIS
Page 35 Innovations for Public Transport
Based on data collected from other sources (ticketing ITShellip)
Cross analysis to produce general dashboards
Detailed analysis to produce recommendations
Secured Web Access
Tablet smart phone for Managers
Full screen for presentations
Interactive features for planners
MIS and printing facilities
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
FEEL THE OUTPUT
Daily Operations result and control on your fingertips
Sector wise revenue performance on that day
Sector wise crew performance on that day
Sector wise vehicle performance on that day
Sector wise EPKM KMPL performance on that day
And much morehelliphelliphelliphellip
Page 36 Innovations for Public Transport
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
KEY PERFORMANCE INDICATORS
Page 37 Innovations for Public Transport
KPIs dashboards
(Revenue EPKM schedule adherencehellip)
Check latest data on real-time basis
By depot service route etchellip
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
DETAILED ANALYSIS FOR PLANNERS
Page 38 Innovations for Public Transport
Passenger traffic analysis
Bus load ridership per hour of the day
Calculate ideal frequencies based on actual data
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
SERVICES PRODUCTION
Page 39 Innovations for Public Transport
A world-wide standard for producing services to passengers
Visual and Automatic features
Scientific approach
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
RESOURCE ALLOCATION
Page 40 Innovations for Public Transport
Optimize allocation process
Streamline daily management
Advanced roster algorithms (to be customized for STUrsquos)
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
ENTERPRISE INTEGRATION (ERP)
Page 41 Innovations for Public Transport
Example of SAP Integration for Kuala Lumpur (2500 vehicles)
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
SYSTEM INTEGRATION
Page 42 Innovations for Public Transport
ITS PIS Ticketing CCTV
Real-time information alerts to central
Unique intelligent system on-board
Simple to use for driver conductor
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
AN EXAMPLE IN USING THE FEATURES
What do you need Solution
I need max revenue possible today with this crew and bus
Sure the software will calculate and analyse and will provide the route and schedule number and time to accomplish the objective
I need normal shifts only for this crew and bus Sure the software will calculate and analyse and provide the timings and route and schedule details accordingly
I need more EPKM with this crew and bus today Sure the software will calculate and analyse and provide the route and schedule details accordingly
I need to infuse this crew and bus in this particular route without negative equiilibrium in existing operation
Sure the software will help in producing the start time and end time along with expected travel time at sectional lengths in the route
I have a challenge I need to cater to a specific contract operation to carry x number of people and load factor between strong timelines with
Sure the software will produce the number of buses required for the lsquoxrsquo load factor with constant or needed frequency
I have challenge My dead run for 3000 buses is very high resulting with high loses
The software will help in reducing these significantly by easily calculating the last trip end location with the nearest night haltdepotetc with simulations and give options for effective precise decision
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
MCTD IMPLEMENTATION
Page 44
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
ROUTE 201
Mixed Volvo Ordinary
Revenues EPKM were good before implementation
Page 45
Route 201 Before After Savings
Vehicles 18 15 3 16
Crew 12 11 1 8
Overtime (hours) 26 6 20 77
Duty hours 170 145 25 15
kilometres 1570 1400 170 11
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
ROUTE 201 REVENUES AND EPKM
SL
MONTH YEAR
NOOF
DESTINATION
EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 16
Chamundi Hill
94000 4352228 4630 1354
2012 17 100612 4102745 4078
2 JUNE 2013 14
Chamundi Hill
85856 3766165 4387 1840
2012 17 99954 3703189 3705
3 JULY 2013 14
Chamundi Hill 91859 4039295 4397
2919 2012 17 107041 3643469 3404
4 AUGUST 2013 13
Chamundi Hill 82414 3565672 4327
4207 2012 17 106054 3229813 3045
Page 46
First scenario
Second scenario
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
CROSS-ROUTE FREQUENCIES
Frequencies rationalized at all important nodes sections detected with ticketing analysis
-gt Cross-route schedule rationalization is impossible manually
Page 47
CBS
KRS
Srirangapathna 303
307
Pump house Important nodes for frequency rationalization
303 307
Central section
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
ROUTE 303 REVENUES AND EPKM
Page 48
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 23
KRSagara 181691 4593397 2528
722 2012 21 169804 4003892 2358
2 JUNE 2013 23
KRSagara 186765 4603817 2465
1442 2012 21 161725 3484251 2154
3 JULY 2013 23
KRSagara 194134 5050910 2602
2257 2012 21 170368 3616356 2123
4 AUGUST 2013 23
KRSagara 195228 5013988 2568
2152 2012 21 167336 3536454 2113
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR THE WEEK
2013 20 KRSagara
40300 1169931 2903 2251
2012 21 39045 925173 2370
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
ROUTE 307 REVENUE AND EPKM
Page 49
KSRTC MYSORE CITY TRANSPORT DIVISIONMYSORE SL
MONTH YEAR NOOF
DESTINATION EFF
REVENUE EPKM EPKM
GROWTH NO SCH KMS
1 MAY 2013 11
PallahalliSRPatana 78924 1930422 2446
212 2012 10 72617 1739209 2395
2 JUNE 2013 11
PallahalliSRPatana 84763 2059990 2430
755 2012 11 77436 1749859 2260
3 JULY 2013 11
PallahalliSRPatana 88056 2094276 2378
1012 2012 10 73345 1584069 2160
4 AUGUST 2013 11
PallahalliSRPatana 87315 2104108 2410
1832 2012 10 71651 1459243 2037
AFTER IMPLEMENTATION OF LUMIPLAN FORECASTED RESULTS FOR WEEK
2013 10
PallahalliSRPatana 18763 490952 2617
2847 2012 10 16718 340490 2037
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
INITIAL PROJECT EXPECTATIONS - KSRTC
This innovative system to be demonstrated for first time in India
To understand if such solution could be integrated into KSRTC
operations
To understand if the system could bring value to the organization
A measurable growth in terms of revenue EPKM and optimization
expected to be in the range of 2-5
A measurable enhancement of Passenger Service in terms of
waiting times and schedule adherence
To assist Traffic team and develop scientific based route process
50
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
5 RESULTS ACHIEVED
Page 51
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
PROJECT BENEFITS ACHIEVED ON THREE
ROUTES ONLY
28 loss making crew members saved and utilized in higher potential areas
7 loss making buses saved and utilized in higher potential areas
Vehicle utilization increased from 2475km to 2517km
Crew utilization increased from 663kmemployee to 682kmemployee
Daily 2000 additional km generated fetching an average EPKM of INR 30
resulting in daily increased revenue of atleast INR 60000
10 new general shifts explored in new potential areas with existing
resources
37 OT hours reduced (approx INR 7000day)
52
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
PROJECT BENEFITS ACHIEVED CONTD
Kilometers saved ndash 1555 non earning KMs saved (approx INR 15550day)
CPKM reduced because of increase in avg vehicle amp crew utilization
Operational cost saved on 7 schedules
A Minimum of at least INR 85000day for three routes generated directly
from Lumiplanrsquos Innovative solution
53
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
BMTC PHASE 1 RESULTS
Page 54
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
BMTC RESULTS FOR 3 ROUTES
Page 55
Total Abstract of Revenue Achievement for the month of October 2014
Route No No of
Schedules Increase in Revenue
per month (INR) Increase in Revenue
per day (INR) Remarks
401M 28 93531931 3017159 October-14
298M 15 50710812 2414801 October -14
500D (O) 34 117715614 3797277 October-14
500D (V) 50 194009424 6258368 October-14
Total 127 455967781 1548760
Increase in Revenue per Bus per Day (INR) 121950
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
5 STAFF REACTION
Page 56
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
5 ASRTU EMPANELMENT
Page 57
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
CENTRAL EMPANELMENT
ASRTU ndash The umbrella corporation where most of the Public bus road transport corporations are members
Key Points
The empanelment is a proven and official route where many transport corporations
procure solutions and award projects through the empanelment window
This empanelment by ASRTU has taken nearly 6 months going through a thorough
exercise by the industry experts IISC professors RTC members and other
experienced staff in choosing the solution providers
EMPANELMENT
58
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
RECOGNITIONS FOR INNOVATIONS IN INDIA
59
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
Commuter related
1 Corporation providing more service to commuters with existing resources
2 Buses available as per commuter demand and need
3 New routes explored through saved buses thereby reaching out to new destinations with wider bus network coverage
4 Bus bunching avoided
5 Reduction in travel time
6 Schedule adherence efficiency and reliability increased
7 Better planned life using BMTC buses
8 General Traffic reduced
RouteSchedule related
1Route Optimization with existing resources achieved with immediate results
2 New Route coverage and connectivity
3 Increased RouteSchedule revenue with immediate results
4 Clear Headway Limits
5 Minimised operating costs on route with immediate results
6 Route Overlap utilised and optimised to better productivity with existing resources itself
7 Excellent tool for the traffic team in utilising resources (both bus and staff) through simulation techniques
DivisionDepot related
1 Immediate effect of reduction in losses increase in profits
2 Project Payment on financial perfomance
3 Vehicle utilisation enhanced
4 Crew utilisation enhanced
5 Over time minimised
4 EPKM increased
5 Revenue to Cost Ratio increased
7 Diesel consumption for same number of routes reduced
8 Wider coverage network with existing buses and staff
9 Overall optimisation increased significantly
Project advantages
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves
THANK YOU
Page 61
Shan Venkat
Lumiplan ndash CEO
Mobile = +91 9741 969696 Email = shanvenkatlumiplancom
Public transport can play a stronger role with a brighter future when it understands the market it serves