Effects of Control Transition Strategies and Human-Machine Interface Designs on Driver Performance in Automated Driving Systems-Reference-Cited by-同舟云学术

Effects of Control Transition Strategies and Human-Machine Interface Designs on Driver Performance in Automated Driving Systems

Published:2024 Issue:1 Volume:15 Page:36-46
ISSN:2185-0984
Container-title:International Journal of Automotive Engineering
language:en
Short-container-title:IJAE

Author:

Leung Chokiu¹,Zhou Huiping²,Itoh Makoto¹,Kitazaki Satoshi³

Affiliation:

1. University of Tsukuba

2. University of Tsukuba,

3. National Institute of Advanced Industrial Science and Technology

Publisher

Society of Automotive Engineers of Japan, Inc.

Link

https://www.jstage.jst.go.jp/article/jsaeijae/15/1/15_20244101/_pdf

Reference29 articles.

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3. (3) Feldhütter, A., Hecht, T., Kalb, L., and Bengler, K., Effect of prolonged periods of conditionally automated driving on the development of fatigue: with and without non-driving-related activities, Cognition, Technology & Work, 21, pp. 33-40, 2019, doi:https://doi.org/10.1007/s10111-018-0524-9.

4. (4) Lin, Q., Li, S., Ma, X., and Lu, G., Understanding take-over performance of high crash risk drivers during conditionally automated driving, Accident Analysis & Prevention, 143, p. 105543, 2020, doi:https://doi.org/10.1016/j.aap.2020.105543.

5. (5) Beckers, N., Siebert, L. C., Bruijnes, M., Jonker, C., and Abbink, D., Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid, Sci Rep, 12, p. 16193, 2022, doi:https://doi.org/10.1038/s41598-022-19876-0.