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Title:

Driver Takeover Performance and Monitoring Behavior with Driving Automation at System-Limit versus System-Malfunction Failures

Accession Number:

01734004

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/03611981

Abstract:

Today’s vehicles are becoming highly automated, however, if the automation fails, drivers must take over control of the vehicle. Automation may fail as a result of known system limits (system-limit failure) or of malfunctions that are unforeseen by system designers (system-malfunction failure). The aim of this research was to quantify the differences between how these two failure types influence driver takeover performance and monitoring behaviors. In a simulator with SAE Level 2 driving automation, 18 drivers experienced both a system-limit and system-malfunction failure while engaging in a secondary task. Results show that drivers put their hands on the wheel 0.62?s sooner and took over 0.51?s faster for the system-limit failure compared with the system-malfunction failure. Eye tracking data revealed that the percent of time looking at the secondary task display was 12.7% lower and the percent of time looking at the roadway was 11.2% higher before the system-limit failure compared with before the system-malfunction failure. Given that takeover performance and monitoring behavior differ significantly based on failure type, a distinction should be made in the literature between system-limit and system-malfunction failures, and comparisons between previous studies using these failures should not be done without considering this distinction. Furthermore, as SAE Level 2 vehicles are currently available to consumers, efforts should be focused on supporting drivers’ mental models of automated systems, so that drivers are able to successfully predict system-limit failures.

Supplemental Notes:

© National Academy of Sciences: Transportation Research Board 2020.

Language:

English

Authors:

DeGuzman, Chelsea A
Hopkins, Samantha A
Donmez, Birsen

Pagination:

pp 140-151

Publication Date:

2020-4

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2674
Issue Number: 4
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Web

Features:

References (25)

Subject Areas:

Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment

Files:

TRIS, TRB, ATRI

Created Date:

Mar 15 2020 3:03PM

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