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.

Record URL:

Language

English

Project

Status: Active
Funding: $90000
Contract Numbers:
69A3551747108
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:
Mountain-Plains Consortium

North Dakota State University
P.O. Box 6050, Department 2880
Fargo, ND United States 58108-6050
Project Managers:
Kline, Robin
Performing Organizations:
University of Utah

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