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A Model to Manage the Lane-Changing Conflict for Automated Vehicles Based on Game Theory

Author

Listed:
  • Liling Zhu

    (School of Business, Sichuan Normal University, No. 1819 Chenglonglu, Chengdu 610101, China)

  • Da Yang

    (School of Transportation and Logistics, Southwest Jiaotong University, No. 999 Xi’an Road, Chengdu 611756, China)

  • Zhiwei Cheng

    (School of Transportation and Logistics, Southwest Jiaotong University, No. 999 Xi’an Road, Chengdu 611756, China)

  • Xiaoyue Yu

    (School of Transportation and Logistics, Southwest Jiaotong University, No. 999 Xi’an Road, Chengdu 611756, China)

  • Bin Zheng

    (School of Transportation and Logistics, Southwest Jiaotong University, No. 999 Xi’an Road, Chengdu 611756, China)

Abstract

In this study, we propose a lane-changing conflict management model based on game theory for automated vehicles. When a vehicle plans to change to the adjacent lane, and if there is a closely following vehicle on that lane, the following vehicle must sacrifice its speed to make space for the lane-changing vehicle, which means there are conflicts of interest between two vehicles. So far, there is no clear answer if the following vehicle should make space for the lane-changing vehicle. These individualistic lane-changing models may lead to suboptimal traffic flow or even traffic safety issues. To solve this problem, this study designed a model based on game theory to solve lane-changing conflicts between the lane-changing vehicle and the following vehicle in the target lane. When the two vehicles enter a lane-changing conflict, the payoffs of the two vehicles under various combinations of strategies were evaluated, and the final strategy and the acceleration for each vehicle were obtained based on the principle of benefit equilibrium. The simulation is conducted to analyze the game strategy of the lane-changing vehicle (LV) and the close rear vehicle (RV) in the process of lane-changing from different initial positions. The results show that, under the hypothesis scenario in the simulation, the strategy {changing a lane, avoiding } will be chosen when the RV is initially located in the range of [0, 40 m], while {not changing a lane, not avoiding} is more appropriate when the initial position of the RV is in the range of [41 m, 90 m].

Suggested Citation

  • Liling Zhu & Da Yang & Zhiwei Cheng & Xiaoyue Yu & Bin Zheng, 2023. "A Model to Manage the Lane-Changing Conflict for Automated Vehicles Based on Game Theory," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3063-:d:1061412
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    References listed on IDEAS

    as
    1. Tong Liu & Chang Wang & Rui Fu & Yong Ma & Zhuofan Liu & Tangzhi Liu, 2022. "Lane-Change Risk When the Subject Vehicle Is Faster Than the Following Vehicle: A Case Study on the Lane-Changing Warning Model Considering Different Driving Styles," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    2. Gipps, P.G., 1981. "A behavioural car-following model for computer simulation," Transportation Research Part B: Methodological, Elsevier, vol. 15(2), pages 105-111, April.
    3. Hui Song & Dayi Qu & Haibing Guo & Kekun Zhang & Tao Wang, 2022. "Lane-Changing Trajectory Tracking and Simulation of Autonomous Vehicles Based on Model Predictive Control," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    4. Pavlos Tafidis & Haneen Farah & Tom Brijs & Ali Pirdavani, 2022. "Safety implications of higher levels of automated vehicles: a scoping review," Transport Reviews, Taylor & Francis Journals, vol. 42(2), pages 245-267, March.
    5. Gipps, P. G., 1986. "A model for the structure of lane-changing decisions," Transportation Research Part B: Methodological, Elsevier, vol. 20(5), pages 403-414, October.
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