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SHRP 2 L10 [Completed]

Feasibility of Using In-Vehicle Video Data to Explore How to Modify Driver Behavior that Causes Non-Recurring Congestion

  Project Data
Funds: $300,000
Research Agency: Viginia Tech
Principal Investigator: Hcsham Rakha
Effective Date: 1/8/2009
Completion Date: 7/31/2010

Project snapshot. More details below.

Products
(Project Number)
Impact on Practice
Product Status
FEASIBILITY OF USING IN-VEHICLE VIDEO DATA TO EXPLORE HOW TO MODIFY DRIVER BEHAVIOR THAT CAUSES NON-RECURRING CONGESTION (L10)

A report provides technical guidance on the features, technologies, and supplementary data sets that researchers and practitioners should consider when designing instrumented in-vehicle data collection studies. Includes a new modeling approach for travel time reliability performance measurement.
Investigating the relationship between observable driver behavior and nonrecurring congestion using in-vehicle video data was shown to be a viable path to improving travel time reliability.
SHRP 2 Report S2-L10-RR-1: Feasibility of Using In-Vehicle Video Data to Explore How to Modify Driver Behavior That Causes Nonrecurring Congestion is available as a PDF, in hardcopy through the TRB bookstore, and as an e-book at Google and iTunes.

Staff Responsibility: William Hyman and Ralph Hessian

Incidents are one of the causes of nonrecurring congestion and driver error is one of the major causes of incidents.

The objective of this project was to determine the feasibility of using in-vehicle video data to make inferences about driver behavior that would allow investigation of the relationship between observable driver behavior and nonrecurring congestion to improve travel time reliability.

This project examined existing studies that had used video cameras and other onboard devices to collect data, and it determined the potential for using these data to explore how to modify driver behavior in an attempt to reduce nonrecurring congestion. The research team made inferences to identify driver behaviors that contribute to crashes and near crashes, and they proposed countermeasures to modify those behaviors. The report provides technical guidance on the features, technologies, as well as supplementary data sets, which researchers and practicing professionals should consider when designing instrumented in-vehicle data collection studies. Also presented is a new modeling approach for travel time reliability performance measurement.

Status: The project is complete.

Product Availability: SHRP 2 Report S2-L10-RR-1: Feasibility of Using In-Vehicle Video Data to Explore How to Modify Driver Behavior That Causes Nonrecurring Congestion is available as a PDF, in hardcopy through the TRB bookstore, and as an e-book at Google and iTunes.

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