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Automotive Engineering ›› 2022, Vol. 44 ›› Issue (10): 1521-1526.doi: 10.19562/j.chinasae.qcgc.2022.10.006

Special Issue: 智能网联汽车技术专题-规划&控制2022年

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Effect of Driving Experience on Take-Over Performance of L3 Automatic Driving

Linyan Wang,Huijun Zhang,Hongyu Hu()   

  1. Jilin University,State Key Laboratory of Automotive Simulation and Control,Changchun  130022
  • Received:2022-07-30 Revised:2022-09-03 Online:2022-10-25 Published:2022-10-21
  • Contact: Hongyu Hu E-mail:huhongyu@jlu.edu.cn

Abstract:

L3 level automatic driving system allows the driver to leave from driving tasks temporarily within its Operational Design Domain (ODD). When the system reaches its boundary, it issues a Take-over Request (TOR), alerting the driver to take over the vehicle in time. In order to explore the take-over performance of drivers with different driving experience in L3 automatic driving, emergency obstacle avoidance driving scenarios with non-driving tasks and visual assistance are designed for 24 participants of different ages with significantly different driving experience to carry out the take-over experiment on the driving simulator platform. The results show that different driving experience has no significant effect on reaction time, but there is significant difference in take-over performance. Experienced drivers have a significant improvement in the metrics like maximum steering wheel Angle and standard deviation of steering wheel Angle; i.e., experienced drivers can resume the control of the vehicle more steadily and safely. In addition, the difference between experienced and inexperienced is more significant without visual assistance.

Key words: automatic driving, take-over performance, driving experience