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

Overview

The SHRP2 L10 project is intended “to examine existing studies using video cameras and other onboard devices to collect data and determine the potential for using these data to explore how to modify driver behavior in an attempt to reduce non-recurring congestion.” It was found that the majority of crashes or near crashes have the potential to be prevented if appropriate instrumentation is installed to issue warnings to drivers in a timely fashion. After analyzing several datasets from naturalistic driving studies, a step-by-step guidance is provided to analyze video data for studying driver behavior in relation to non-recurring congestion.

Source Organization Location

Washington
,
DC

Operations Area of Practice

    Connected Vehicles
    Data Acquisition, Support and Hosting
    System Performance Definition, Monitoring and Reporting
    Hazard Identification

Organizational Capability Element

    Vehicle Systems/Connected Vehicles

Content Type

Research

Role in Organization

Senior Engineer
Researcher/Academic
Principal Engineer
Engineer
Associate Engineer

Publishing Organization

SHRP2 Program

Maturity Level of Program

Monitoring (L4)
Deployment (L3)
Assessment (L1)
Development (L2)

Objective

Learning

Document Downloads

Prime Contractor
Virginia Tech Transportation Institute (SAIC)
Author
H. Rakha,
J. Du,
S. Park et al.
Issue Date
Publication Number
S2-L10-RR-1
ISBN Number
978-0-309-12898-8