Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion

Miles, James; Strybel, Thomas; University of Southern California, Los Angeles

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Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion

2020-01-31
By Miles, James ; Strybel, Thomas

[PDF-1.47 MB]

English

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Creators:

Miles, James ; Strybel, Thomas

Miles, James ; Strybel, Thomas Less -
Corporate Creators:

University of Southern California, Los Angeles
Corporate Contributors:

California State University, Long Beach ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; California. Dept. of Transportation. Division of Research, Innovation, and System Information

California State University, Long Beach ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; California. Dept. of Transportation. Division of Research, Innovation, and System Information Less -
Subject/TRT Terms:

[+]

Autonomous Vehicle Handover Autonomous Vehicles Data Collection Driver Performance Drivers Driving Driving Simulators Mobility Passenger Transportation Safety Traffic Congestion Traffic Safety Transportation Planning Travel Behavior
Publication/ Report Number:

PSR-17-11
Resource Type:

Tech Report
Geographical Coverage:

California ; United States

California ; United States Less -
Edition:

Final report (Feb. 2019–Jan. 2020)
Corporate Publisher:

California. Dept. of Transportation. Division of Research and Innovation
Abstract:

Over the next several decades, highly automated driving systems (HADS) will become increasingly common on our roads, greatly reducing traffic accidents and road congestion. However, for the foreseeable future, the human driver will be required to take control when automation fails. Therefore, it is critical to understand how take-overs from HADS affect driver performance and whether driver take-over performance will affect crash rates rate and related issues of congestion. We review extant research on driver take-over performance, identifying key factors influencing driver performance. We then develop a virtual-reality driving simulator designed to evaluate specific differences in driver performance during take-overs from HADS versus current full-manual driving. In a study using this simulator, we find no clear difference in driver performance during obstacle avoidance maneuvers and identify several benefits that HAD take-overs provide to driver performance.
Format:

PDF
Funding:

USDOT Grant 69A3551747109 Caltrans Grant 65A0674, Task Order 006
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:feea74b74a7258e66462a2c1a1872f1747b37d5f87fd21afe7556fe79e508056
Download URL:

https://rosap.ntl.bts.gov/view/dot/54429/dot_54429_DS1.pdf
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Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion

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