Abstract
The large-scale assessment of how driving behavior affects traffic safety and ongoing surveillance is hindered by data collection difficulties, small sample sizes, and high costs. Connected vehicles (CV) now offer massive volumes of observed driving behavior data from newer vehicles with myriad electronics and sensors that monitor the state of the vehicle, environmental conditions, and the driver’s actions. This project evaluated the viability of CV data in roadway safety applications with the objective of improving existing predictive crash methods, measuring traffic speed and its relationship to crashes, and determining whether CV data could be used to evaluate pavement marking products. The research team developed safety performance functions (SPFs) for rural two-lane segments and urban intersections in Texas. The results showed that the SPFs improved with the addition of hard braking and hard acceleration counts in a majority of areas. Further, a variety of CV speed measures were generated from the CV data and were shown to have conflicting correlations with crash risk and counts. Lastly, the research team developed the data processing methods for evaluating pavement marking products but was unable to perform an evaluation due to the lack of detailed construction project records.
Project Highlights
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Final Report
EWD & T2 Products
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Presentations/Publications
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Research Investigators (PI*)
Michael Martin (TTI/TAMU)*
Shawn Turner (TTI/TAMU)
Xiao Li (TTI/TAMU)
Eva Shipp (TTI/TAMU)
Lingtao Wu (TTI/TAMU)
Sophia Stutes (TTI/TAMU)
Xinyue Ye (TTI/TAMU)
Project Information
Start Date: 2020-02-01
End Date: 2023-08-01
Status: Active
Grant Number: 69A3551747115
Total Funding: $344,550 (Phase 1: $75,000 Phase 2: $269,550)
Source Organization: Safe-D National UTC
Project Number: TTI-05-01
Safe-D Theme Areas
Big Data Analytics
Connected Vehicles
Safe-D Application Areas
Planning for Safety
Risk Assessment
Operations and Design
Infrastructure Technology
More Information
RiP URL
UTC Project Information Form
UTC Project Information Form Phase II
Sponsor Organization
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC 20590 United States
Performing Organization
Texas A&M University
Texas A&M Transportation Institute
3135 TAMU
College Station, Texas 77843-3135
USA