Traffic intersection crossing method for intelligent vehicles based on game theory Online publication date: Sun, 03-Sep-2023
by Yikai Wang; Zhuming Nie; Yuquan Wu; Xiaozhao Fang; Xi He; Hongbo Gao
International Journal of Space-Based and Situated Computing (IJSSC), Vol. 9, No. 3, 2023
Abstract: Game theory is a tool for decision-making in the face of uncertain factors. In this paper, by analysing the defects of the existing traffic light timing strategy, combined with the existing traffic conditions, a dynamic traffic crossing strategy based on game theory is proposed. This paper attempts to use game theory to determine the traffic relationship between intersections, adjust the timing of traffic lights in real time, and compare it with the existing timing methods through software simulation. The experimental results show that the dynamic traffic strategy proposed in this paper can improve the traffic efficiency, effectively reduce the maximum queue length, and has a strong adaptability to emergencies.
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