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
Content Type
Research
Author
H. Rakha,
J. Du,
S. Park et al.
Issue Date
Insitutional, Organizational, and Process
Planning Analysis Tools
Planning Analysis Tools
Tactical Element
Emergency Transportation Operations for Disasters
TOM Chapters
20.2
6.5
29.5
View Related
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
Prime Contractor
Virginia Tech Transportation Institute (SAIC)
Publication Number
S2-L10-RR-1
ISBN Number
978-0-309-12898-8
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