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Automotive Engineering ›› 2024, Vol. 46 ›› Issue (1): 9-17.doi: 10.19562/j.chinasae.qcgc.2024.01.002

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Takeover Risk Assessment Model Based on Risk Field Theory Under Different Cognitive Secondary Tasks

Yanli Ma1(),Qin Qin1,Fangqi Dong1,Yining Lou2   

  1. 1.School of Transportation Science and Engineering,Harbin Institute of Technology,Harbin  150090
    2.Department of Mathematics,University College London,London,WC1E 6BT
  • Received:2022-12-01 Revised:2023-01-04 Online:2024-01-25 Published:2024-01-23
  • Contact: Yanli Ma E-mail:mayanli@hit.edu.cn

Abstract:

To effectively evaluate the takeover risks of L3 autonomous vehicles under different cognitive secondary tasks, a study on the risk assessment model for driving takeover is carried out. The urban expressway emergency takeover scenario is designed and driving simulation experiments under different cognitive secondary tasks are carried out. The takeover risk assessment model considering trajectory field, potential field and behavior field is established. The validity of the proposed model is verified by adopting the takeover risk index method. Combined with the measured data, the influence of different cognitive secondary tasks and avoidance operation types on the strength of takeover risk field is quantized. The results show that the M-W test and K-S test for the distribution of the takeover risk index between 1 and 9 s after the takeover operation by the participants are both with the result of p<0.05, indicating that the model can effectively assess the takeover risk of the vehicle during the takeover process. In addition, the root mean square error of the takeover risk index (0.062) is smaller than the root mean square error of the inverse time-to-collision (0.098), indicating that the model is better than the inverse time-to-collision in accurately describing the risk. The research results can provide reference for vehicle operation risk assessment and collision avoidance design in takeover process.

Key words: traffic engineering, autonomous driving, risk assessment model, driving risk field, driving takeover