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Automotive Engineering ›› 2025, Vol. 47 ›› Issue (1): 13-22.doi: 10.19562/j.chinasae.qcgc.2024.ep.003

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Human-Like Decision-Making Based on Sequential Games for Automated Vehicles Considering Subjective Cognition

Bing Zhu,Shizheng Jia,Jian Zhao(),Jiayi Han,Peixing Zhang,Dongjian Song,Zhicheng Chen   

  1. Jilin University,National Key Laboratory of Automotive Chassis Integration and Bionics,Changchun 130025
  • Received:2024-05-30 Revised:2024-07-30 Online:2025-01-25 Published:2025-01-17
  • Contact: Jian Zhao E-mail:zhaojian@jlu.edu.cn

Abstract:

Uncontrolled intersections are highly dynamic and strongly interactive decision-making scenarios, in which it is a challenging task to enable automated vehicles to make safe and reasonable decisions similar to skilled drivers and pass through the intersections successfully. The subjective attributes of ontology in cognition and decision-making process are fully considered in this paper, and an interactive human-like decision-making method based on sequential games for automated vehicles is proposed. Firstly, the multi-objective driving triggers are deeply explored from multiple dimensions such as traffic efficiency, space margin, ride experience, and driving safety. Further, a game decision-making model is established, which is embedded with personalized and human-like driving characteristics and can match driver and passenger groups with different driving modes and types. On this basis, the concept of sequential priority and the self-perspective decision-making scheme that imitates human logic are proposed to realize self-evolution of sequential patterns of rolling stage game decision-making. Finally, the effectiveness of the proposed method is verified through multiple sets of comparative experiments. The results show that the interactive human-like decision-making method proposed in this paper can resolve potential conflicts and deal with safety decision-making problems in a continuous and interactive manner, while improving the naturalized and human-like effect of personalized decision-making of automated vehicles.

Key words: automated vehicles, human-like decision-making, sequential game, subjective cognition, uncontrolled intersections