Predicting the duration of reduced driver performance during the automated driving takeover process-Reference-Cited by-同舟云学术

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Predicting the duration of reduced driver performance during the automated driving takeover process

Published:2024-02-07 Issue: Volume: Page:1-16
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Wang Changshuai¹²³,Xu Chengcheng¹²³,Peng Chang¹²³,Tong Hao¹²³,Ren Weilin¹²³,Jiao Yanli⁴

Affiliation:

1. Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, China

2. Jiangsu Province Collaborative Innovation Centre of Modern Urban Traffic Technologies, Nanjing, China

3. School of Transportation, Southeast University, Nanjing, China

4. Hebei Provincial Communications Planning, Design and Research Institute, Shijiazhuang, China

Funder

National Natural Science Foundation of China

Postgraduate Research & Practice Innovation Program of Jiangsu Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2024.2307029

Reference25 articles.

1. Takeover request (TOR) effects during different automated vehicle failures

2. Maximum Likelihood from Incomplete Data Via theEMAlgorithm

3. “Take over!” How long does it take to get the driver back into the loop?

4. Modeling take-over performance in level 3 conditionally automated vehicles

5. Stochastic neighbor embedding;Hinton G. E.;Advances in Neural Information Processing Systems,,2002

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