Safe-D: Safety through Disruption

Preventing Crashes in Mixed Traffic with Automated and Human-Driven Vehicles

Abstract

While safety is the ultimate goal of designing connected automated vehicles (CAVs), in many instances, CAVs’ decisions do not match the expectations of human drivers (e.g., 3-second stopping rules versus rolling stops performed by human drivers). Such instances can lead to crashes/near-crashes; for instance, in 18 out of 26 crashes involving CAVs in California through February 2017, a CAV was rear-ended by a human driver at an intersection. Unfortunately, the state-of-the-art in CAV safety analysis is focused on actual and simulated miles driven, which are shown to be infeasible to apply after each update (software and/or hardware). Accordingly, this project is expected to bring insight from traffic safety analysis to develop a systematic approach for CAV safety evaluation. This project will identify the factors that contribute to crashes in mixed traffic with automated and human-driven vehicles through data analysis, simulation, and field tests. Moreover, it will develop measures and guidelines to minimize the risk of such crashes. The findings of this study are expected to significantly enhance the safety of operating CAVs.

Final Report

Coming Soon!

EWD & T2 Products

Coming Soon!

Presentations/Publications

Rahmati, Y., A., Samimi Abianeh, M., Tabesh, A., Talebpour, and F., Sharifi. Driving to Safety: Who Is at Fault in CAVs Rear-End Collisions. Accepted for presentation at the 98th Annual Meeting of the Transportation Research Board of National Academies, January 13-17, 2019. (Accepted)

Research Investigators (PI*)

Alireza Talebpour (TTI/TAMU)*
Dominique Lord (TTI/TAMU)
Michael Manser (TTI/TAMU)
Sahar Ghanipoor Machiani (SDSU)

Project Information

Start Date: 05/01/2018
End Date: 9/30/2019
Status: Active
Grant Number: 69A3551747115
Total Funding: $172,648
Source Organization: Safe-D National UTC
Project Number: 03-072

Safe-D Theme Areas

Automated Vehicles
Connected Vehicles

Safe-D Application Areas

Risk Assessment
Driver Factors and Influences
Planning for Safety

More Information

RiP URL
UTC Project Information Form

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

San Diego State University
5500 Campanile Dr
San Diego, CA 92182
USA