Impact of Connected Vehicle Technology on Traffic Safety under Different Highway Geometric Designs
With the recent rapid development of wireless communication and computing techniques, connected vehicle (CV) technology has reached a level of maturity and it can be expected that CVs will soon go beyond testbeds. Early deployments of CV technology have shown its great potential on improve highway safety performance. In this project, the research team aims to analyze the CV impacts on crash prevention under different highway geometric designs. Considering the strong correlations between highway geometric features and crash severity, this project will particularly study the impact of lane width, shoulder width, and alignment design on crash severity and provide guidance on methods that can be used in the impact evaluation. Grounded on a well-calibrated microscopic simulation model, this project will implement vehicle-to-vehicle (V2V) communication technologies to acquire real-time vehicle trajectory data. The collected information will further be used to analyze impacts of CVs on potential crash rate and severity with three types of surrogate measures of safety: standard deviation of speed, standard deviation of headway, and potential rear-end crash rate.
Language
- English
Project
- Status: Active
- Funding: $90000
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Contract Numbers:
69A3551747108
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
North Dakota State University
P.O. Box 6050, Department 2880
Fargo, ND United States 58108-6050 -
Project Managers:
Kline, Robin
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Performing Organizations:
Department of Civil and Environmental Engineering
110 Central Campus Drive Suite 2000
Salt Lake City, UT United States 84112 -
Principal Investigators:
Yang, Xianfeng
- Start Date: 20190112
- Expected Completion Date: 20220731
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
- Source Data: MPC-590
Subject/Index Terms
- TRT Terms: Connected vehicles; Crash rates; Crash severity; Geometric design; Headways; Highway design; Impacts; Rear end crashes; Traffic safety; Traffic simulation; Traffic speed; Vehicle trajectories; Width
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01691633
- Record Type: Research project
- Source Agency: Mountain-Plains Consortium
- Contract Numbers: 69A3551747108
- Files: UTC, RiP
- Created Date: Jan 28 2019 11:45AM