“big data & asset management”

John R. Kasich, Governor

Jerry Wray, Director

“Big Data & Asset Management”

Ohio Planning Conference 2014

w w w. t r a n s p o r t a t i o n . o h i o . g o v



Ohio Department of Transportation

Big Data: Asset ManagementAndrew Williams, Administrator Office of

Technical Services

Big Data

• Big data is a collection of large data sets so large and complex that it becomes difficult to process using on-hand database management tools. More data tends to lead to more accuracy. More accurate analyses may lead to more confident decision making. And better decisions can mean greater operational efficiencies, cost reductions and reduced risk.

http://portal.dot.state.oh.us/Divisions/Communications/_layouts/listform.aspx?PageType=4&ListId=%7B346BF820-DF7B-4FA5-B10F-FD439C60DF44%7D&ID=55

The four dimensions of use Aspects of the way in which users want to interact with

their data…

Totality: Users have an increased desire to process and analyze all available data

Exploration: Users apply analytic approaches where the schema is defined in response to the nature of the query

Frequency: Users have a desire to increase the rate of analysis in order to generate more accurate and timely business intelligence

Dependency: Users’ need to balance investment in existing technologies and skills with the adoption of new techniques


Data Cycle


Asset Management Video

Click link below to watch Asset Management Video on YouTube:

http://www.dot.state.oh.us/Divisions/Planning/Conference/Pages/Big-Data-Video.aspx

http://www.dot.state.oh.us/Divisions/Planning/Conference/Pages/2014/Big-Data-Video.aspx







Managing Big Data – with GISDave Blackstone

Transportation Information Management Section / Office of Technical Services

County Boundaries

Township Boundaries

City Boundaries

Urban Boundaries

State Route System (19,467 miles)

State (19,467) & County (28,973)

State (19,467), County (28,973) & Township (41,530)

State (19,467), County (28,973), Township (41,530) & Muni (31,664)

Road Inventory

ELLIS2014 - 2016

Surface Projects &PCR

Bridges

Bridges by System

Bridges by GA

Bridges

Bridges & OSIP Imagery

Rail Lines

Rail Crossings

Airports

Intermodal

Crashes - 2013

Crashes by Severity

Underground Mines

Underground Mines & Road Segments

Road Section & Mines

ADT-PCR-Crash

Number of Crashes/Segment

Crash Rate

Contact Information

Dave Blackstone

Office of Technical Services

Transportation Information Management Section

614-466-2594

[email protected]

http://www.dot.state.oh.us/Divisions/Planning/TechServ/Pages/default.aspx






Big Data – It All “Counts”Dave Gardner

Traffic Monitoring Section / Office of Technical Services

Traffic Monitoring Section

Field Operations(D a ta C o llec tion )

Office(D a ta P rog ram m in g , D ata P roc ess in g , D ata R ep ort in g )

T raffic M onitoring Section

Office of T echnical Services

Division of Planning


Traffic Monitoring Program

Count Programming

Data Collection

Data Processing & Editing

Reporting


ODOT Count Program

Where do we (ODOT) collect traffic data? 3 – Year Cycle

– State System Roads (Interstate, US, and State Routes)– 14,200

6-Year Cycle (Local Roads)

– HPMS Universe Counts – 4,200– Safety – 3,700– Modeling – 5,500

Additional Counts Received from

– County Engineers – 6,200– MPOs – 12,000

Total Program Counts – 45,800


Data Collection - Types of Counts

Portable Vehicle Classification Counts

Portable Vehicle Volume Counts

Manual Intersection Turning Movement Counts

Permanent Traffic Counter

Weigh-In-Motion (WIM)


ODOT Count Program

How do we (ODOT) collect traffic data? Short Term Counts

– ODOT - Collected by 3 Consultants Statewide

– Local Agency Coordination – Have acquired close 18,000 counts from the county engineers and MPOs.


ODOT Count Program How do we (ODOT) collect traffic data? Permanent Counts – ODOT/Contractor Maintained


ODOT Count Data Processing (Current) Short Term Counts

- VB.net application/Access Database

Permanent Counts

- Traffic Keeper Ohio (TKO) Client/Server

Weigh-In-Motion

- TKO/Mainframe


Reporting Annual Average Daily Traffic (AADT)

Vehicle Volume Data

Vehicle Classification Data

Adjustment Factors

Various Summary Reports:

Daily

Weekly

Annually

By direction, by lane

Equivalent Single Axle Loadings (ESALs)


ODOT Count Data Reporting (Current) Traffic Survey Report/Map

ODOT Count Data Reporting (Current)TIMS

ODOT Count Data Processing (Future)

Midwestern Software Solutions

- Cloud based system

- Offers Traffic Count Database, Traffic Count Segments, and Turning Movement Modules

- Consolidates processing, storage, and reporting for Short term, permanent, and turning movement counts.


ODOT Count Data Reporting (Future)

ODOT Count Data Processing (Future) Integration with:

- Roads and Highways (RI)- TIMS- BTRS- Safety- Permitted Lane Closure- Pavements- Others


Contact Information

Dave Gardner


Traffic Monitoring Section

614-752-5740

[email protected]







Brian SchleppiInfrastructure Management Section /


http://pathweb.pathwayservices.com/ohiopublic/

http://pathweb.pathwayservices.com/ohiopublic/

1 Cycle of Images

Roughly 27,000 miles

X 200 shots per mile

X 4 camera views

(left, front, right, & rear)

= over 21 million images

= over 11 TB of data (single copy)


1 Cycle of Images~ $ 1 million to support per cycle

< 5 cents per image really becomes

< 1 cent per image when you prorate for other data collected

Road profiles

Macrotexture

Rutting

Surface images

Spatial reference


1 Cycle of Images

All data inclusive of:

Linear Reference: County, Route, Logpoint/Milepoint

Spatial Reference: Latitude & Longitude

Date & Time Stamp

Free access to ODOT & J. Q. Public


Asset Extractions from Images

Building Asset Inventories for Barrier and Overhead Signs

71,816 barrier runs for 5,612 miles of barrier

Concrete barrier (rigid) 1,031 miles

Guardrail barrier (semi-rigid) 4,296 miles

Flexible barrier (cable rail) 284 miles

25 interns completed in 3 weeks time


Overhead Sign Inventory Collection Process


Locating signs with BOX

76

Left click and use cursor to drag a box around sign.

Recording info into database

77

Once sign or signs are boxed, now fill out the database record window.

Selecting Correct Sign

78

Select correct sign based off of image.

Legend Data & Number Of Signs

79

Select number of signs being collected.

Any wording on signs will be placed in the Legend.

Selecting Sign Supports

80

Select sign support from support menu.

Continue Collecting

81

Macrotexture Analysis

Safety Component

Proactively Identify potential

High Wet Crash locations


1 Cycle of network road profiles

Roughly 27,000 miles

X 5280 feet per mile

X 12 elevation points per mile

X 2 wheel paths mile

= over 3.4 Billion stored profile points


Network Road Profiles

FHWA / MAP-21 Requirement to report data nationally as performance metric (IRI)

Used in OH DOT’s Pavement Management System

Leveraged to develop IRI based smoothness specifications for highway construction


International Roughness Index (IRI)Using profiles to simulate vehicle response

(What the public “feels”)

MeasuredProfile IRI

Computer Algorithm

Body Mass

Suspension Spring and Damper

Axle Mass

Tire Spring

Click the link below to watch Road Profiling Videos

http://www.dot.state.oh.us/Divisions/Planning/Conference/Pages/Road-Profiling-Videos.aspx

http://www.dot.state.oh.us/Divisions/Planning/Conference/Pages/2014/Road-Profiling-Videos.aspx



Network Road Profiles In-house Research

– Interstate Bridges 2.5 X rougher than Pavement– Bridges make up less than 4% of network by length– Bridges raised network IRI by almost 8%

Set the stage to develop PN 555, IRI for Bridges

– Happy motoring public– Infrastructure Benefits


Contact Information

Brian Schleppi


Infrastructure Mangement Section

614-752-5745

[email protected]



“big data & asset management”

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traffic data

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data collection types

system bridges

governorjerry wray

collection of large

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