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Human Machine Co-driving Strategy Based on Risk Assessment Under Car Following Conditions
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Ping LIU1, 2, Yue SHEN1, 2, Mingliang YANG1, 2, Yunpeng TIAN1, 2, Shuohan WANG1, 2
Chinese Journal of Automotive Engineering | 2024, 14(5) : 791 - 800
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Chinese Journal of Automotive Engineering | 2024, 14(5): 791-800
• Safety Technology Section/Editor-in-Chief:CAO Libo •
Human Machine Co-driving Strategy Based on Risk Assessment Under Car Following Conditions
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Ping LIU1, 2, Yue SHEN1, 2, Mingliang YANG1, 2, Yunpeng TIAN1, 2, Shuohan WANG1, 2
Affiliations
  • 1 School of Mechanical Engineering Southwest Jiaotong University Chengdu 610031 China
  • 2 Engineering Research Center of Advanced Drive Energy Saving Technologies, Ministry of Education Southwest Jiaotong University Chengdu 610031 China
doi: 10.3969/j.issn.2095–1469.2024.05.05
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To avoid unnecessary interventions by the driver assistance system, this paper combines collision risk and driving maneuverability to introduce the concept of a risk assessment zone in longitudinal following scenarios. The boundary of this zone is determined based on the normal distribution characteristics of the driving data. Subsequently, a new humanmachine codriving longitudinal driving rights allocation strategy is proposed, which takes the inverse time to collision (TTCi) as the basis for judgment. If the TTCi exceeds the threshold value, the upper boundary of the risk assessment zone represents the maximum deviation in driving maneuverability. The control rights of the assistance system are allocated according to the deviation in the driver's maneuverability. By combining Prescan, Matlab/Simulink and the Logitech G29 driving simulator, a driverintheloop simulation platform was constructed. The platform simulated the reduced driver maneuverability due to distracted driving, thereby verifying the effectiveness of the strategy. The results show that the proposed humanmachine codriving strategy can effectively prevent collisions caused by reduced driver maneuverability under highspeed road following conditions.

collision risk  /  driver's manoeuvring ability  /  risk assessment area  /  normal distribution  /  distribution of driving rights
Ping LIU, Yue SHEN, Mingliang YANG, Yunpeng TIAN, Shuohan WANG. Human Machine Co-driving Strategy Based on Risk Assessment Under Car Following Conditions[J]. Chinese Journal of Automotive Engineering, 2024 , 14 (5) : 791 -800 . DOI: 10.3969/j.issn.2095–1469.2024.05.05
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Article Info
doi: 10.3969/j.issn.2095–1469.2024.05.05
  • Receive Date：2023-02-26
  • Online Date：2025-07-20
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  • Received：2023-02-26
  • Revised：2023-03-27
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Affiliations
    1 School of Mechanical Engineering Southwest Jiaotong University Chengdu 610031 China
    2 Engineering Research Center of Advanced Drive Energy Saving Technologies, Ministry of Education Southwest Jiaotong University Chengdu 610031 China
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