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Smart telematics solutions
Moscow 2016
FEDERAL NETWORK OPERATOR
1. INITIAL STATISTICS
2013-2014 - 340 000 accidentOfficial statistics of the traffic police by geofence
2. EVALUATION OF THE CORRELATION
Identification of parameters influencing a trip to the emergency
The result - a variety of parameters affecting of the accident
3. REGRESSION ANALYSIS
Calculation of the influence of parameters of a trip to the emergency
The result – The Original Mathematical Model
4. UPDATE STATISTICS OF ACCIDENTS. DEPENDING ON THE MONTH, DAY OF WEEK, TIME OF DAY, GEOFENCE
Calculation of additional factors of influence on the accident rate
The result - The refined mathematical model
5. SETTING SCORING MODELS. A REGRESSION ANALYSIS BASED ON UPDATE STATISTICS
Annual update mathematical models.
Analysis within the parameters of GENDER, AGE, EXPERIENCE, MATERIAL STATUS, PRESENCE OF CHILDREN, VEHICLE
The result – the constant improvement of the accuracy of scoring models for different user groups
Sources:
1. "Application of mathematical methods for the accident analysis in regions", MARCU (MADI) 2013 / V.T.Kapitanov, O.Y.Monina, A.B.Chubukov.
2. "Methodical recommendations for safety assessment in the road design " / IDM 218.6.009-2013
3. "Recommendations for safety assessment on the roads" / IDM 218.4.005-2010
4. "Probability and imitating approaches to optimization of road traffic", M .: Mir, 2003 / A.P.Buslaev, A.V.Novikov, V.M.Prihodko, A.G.Tatashev, M.V.Yashina
5. Hong, B. Margines, A. Dey “A Smartphone-based Sensing Platform to Model Aggressive Driving Behaviors”
6. Johnson and M. Trivedi. “Driving Style Recognition Using a Smartphone as a Sensor Platform”
7. Harroa J. “Preventing risky driving: A novel and efficient brief intervention focusing on acknowledgement of personal risk factors
8. Joannes El. Chliaoutakis J., Demakakosb P., Tzamaloukaa G., Bakoub V., Koumakib M., Darvirib C. “Aggressive behavior while driving as predictor of self-reported car crashes”
9. D. Mitrovic, “Reliable method for driving events recognition” 6. R. Willis, R. McIntyre, G. West, P. McConnell “Monitoring aggressive driving operation of a mobile asset”
SCORING MODELS: STAGES OF CREATION
2
• The value• Duration• At what speed
Accident-prone intersectionsand stretches of road,
Dangerous bend, Pedestrian crossings, "Speed humps”, School zone, Bridges / Tunnels / Trestles.
• Poor coverage• Bad visibility• The wind
GEOFENCE
Acceleration, braking, lateral acceleration
(55 coefficients)
Dangerous road sections
Weather(evaluation in real time)
INP
UT
DA
TA
The overspeed
• The value> 20; > 40; > 60; > 80
The duration of the trip, the distance
Statistics within the geofence
• Areas, Highway• Location and time of incident• The rush hour• Day/Night• The season
MODEL ASSESSMENT OF CONDUCT CUSTOMER ON THE ROAD (SCORING)
FIN
AL
GR
AD
E
3
А
Danger zones
Over speed
Dynamic overclocking
Zones with different accident statistics
Flip flop
Hard braking
The duration and trip distance
Dangerzones
B
Time, day, month of the trip Weather
MODEL ASSESSMENT OF CONDUCT CUSTOMER ON THE ROAD (SCORING)
You always availableabout as your driving staff
Collect, process and store data about the trip customers insurance company for detection of emergency customers and lossesJUST A TRIP FROM POINT "A“ TO POINT "B"?
WE DO NOT THINK SO!
4
DETERMINATION OF DRIVING ASSESSMENT: NOT CRASHED DRIVERS
Setting The Scoring Model in order to maximize the difference in the values of the expectation of the distribution of the evaluation for emergency and accident-free drivers
Am
ount
of
Dri
vers
Scoring, %
Expected value
5
DETERMINATION OF DRIVING ASSESSMENT: NOT CRASHED DRIVERS
The probability of accident-free if driver rating is equal or grater than this
Scoring, %
Pro
babi
lity
When Scoring value over 75 probability of accident is no more than 2%.
6
SOFTWARE
Servers Software
Data quality control and performance of devices, including notification ofemergency situations.
Automatic scaling system for different loads (the number of active machines).
The possibility of the cloud service and on customer’s servers.
Adapting to customer specifications.
The use of certified servers to work with personal data.
7
SOFTWARE
Settings functional solutions for different types of tasks: Underwriting;
Sales department;
Settlement of losses;
Management reporting.
Reporting on the accident: Fixation;
Reconstruction
Customizable profile of each driver.
Detailing trips with interpretation of events.
Access rights and security audit.
Servers support of personal data (in a secure perimeter).
The presence of API by working with all of these systems to integrate with any system
Rebranding.
Web - portal
8
REPORT-ANALYST CUSTOMERS
Analytics use vehicles with expert opinion Card of the insured during the reporting period
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FIXATION BREAKDOWN AND RECONSTRUCTION ACCIDENT
Time
Location
Full name
Contact details
IMEI
The number, date, an insurance policy tariff
VIN
Brand
Model
Government number
The highest acceleration values
Speed
Back
To theleft
Down
0,47g
Forward
To the right
Up
5,25g
0,63g
Point of incident
Point of incident
Seconds
Km/h
Acceleration along the X axis
Acceleration along the Yaxis
Acceleration along the Zaxis
Seconds
Speed change around the pointof incident
EXPERT CONCLUSIONThe large magnitude of the peak acceleration, aperiodic graphics acceleration occurred along the axis of the X (horizontal). Accelerating direction coincides with the direction of movement.
The accident occurred.The blow to the back of a moving car. After the incident, the car retained its position in space. Occurrence of moderate severity, as car after the incident while the movement continued.
10
SOFTWARE: MOBILE APP
Support to largest mobile platforms:
iOS, Android, Windows Phone
Feed for Events
Assessment of driving behavior:for a selected period and each trip separately.
Weather indicator.
Diagnostic error indicator and decoding of error codes.
History and detailed trip: itinerary, travel time, lost time (losses due to traffic), decoding events affecting the assessment of the quality of driving, time and location of each event.
Online control:
Intentionally or unintentionally off the device;The car started moving with the ignition off (evacuation);Information about the accident: on the move and in the parking lot;Location car connected to the system.
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SOFTWARE: MOBILE APP
Statistics on the use of the vehicle
Explanation of events affecting the quality of driving:
The number and value of overspeed;
The total number of violations
The quantity of dangerous acceleration: acceleration, braking, lateral acceleration.
Background information on the efficiency of use of a vehicle:
The achieved economy of the period;
Provision for improving efficiency.
Background information on the efficiency of use of a vehicle:
Driving time for the period;
The loss of time due to traffic. Coefficient of efficiency Quality of driving Efficient use of time
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EQUIPMENT
System is adjusted by device type and vehicle type
THE SCORING MODEL
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CONTACT INFORMATION
1402, 1508 bld. 1, World Trade Center,
12, Krasnopresnenskaya nab.,
Moscow, Russia, 123610
Tel.: +7 (495) 258-11-88, Fax: +7 (495) 258-11-89
http://glonassunion.ru/web/en
International cooperation:
Vladimir Kruchkov
CEO, ITS RUSSIA
Alexander Bondarenko
Director, International Projects
FEDERAL NETWORK OPERATOR