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

Miles, James; Strybel, Thomas

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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

File Language:

English

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Creators:

Miles, James ; Strybel, Thomas
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
Subject/TRT Terms:
Publication/ Report Number:

PSR-17-11
Resource Type:

Tech Report
Geographical Coverage:

California;United States
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:

69A3551747109 Caltrans Grant 65A0674, Task Order 006
Download URL:

https://rosap.ntl.bts.gov/view/dot/54429/dot_54429_DS1.pdf
File Type:

[PDF - 1.47 MB]
Collection(s):

Autonomous Vehicles ; University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha-512:161d0b9f62d3792f533e98289155ff1abb1a08b928e1bd301072bc81410cd69a27843db4bae766c12b7e83662822fd2e13ba41fc9bf9cbfd9181b44f3f407ca2

File Language:

English

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