Real-time Driving Ability Prediction Model Based on GWO-LSTM-Reference-Cited by-同舟云学术

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Real-time Driving Ability Prediction Model Based on GWO-LSTM

Published:2024-04-26 Issue: Volume:32 Page:434-437
ISSN:
Container-title:2024 5th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM)
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Author:

Chen Yongqing¹,Xia Yangyang²,Chen Jiajia²,Chen Jie²

Affiliation:

1. Anhui Transportation Holding Group Co. ltd.,Hefei,China

2. Jiangsu University,School of Automotive and Traffic Engineering,Zhenjiang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629219/10629224/10629270.pdf?arnumber=10629270

Reference12 articles.

1. Review of influencing factors and intervention methods of driver s risk perception ability;Qiao;J. Chinese Journal of Safety Science,2022

2. A Review of Driving Distraction;Ge;J. Journal of Transportation Engineering,2021

3. Safety risk assessment and diagnosis method of intersection approach based on navigation data;Zhao;J. Journal of Tongji University (Natural Science Edition),2020

4. Design of driving distraction behavior scale and analysis of influencing factors;Zhang;J. Chinese Journal of Safety Science,2021

5. Assessing Psychological Fitness to Drive for Intoxicated Drivers: Relationships of Cognitive Abilities, Fluid Intelligence, and Personality Traits

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