Traffic intersection crossing method for intelligent vehicles based on game theory

被引：0

作者：

Wang, Yikai ^{[1
]}

Nie, Zhuming ^{[2
]}

Wu, Yuquan ^{[3
]}

Fang, Xiaozhao ^{[4
]}

He, Xi ^{[5
]}

Gao, Hongbo ^{[5
]}

机构：

[1] Univ Sci & Technol China, Dept Automat, Hefei 230026, Anhui, Peoples R China

[2] Anhui Normal Univ, Dept Educ Technol, Wuhu 241000, Anhui, Peoples R China

[3] Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China

[4] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China

[5] Univ Sci & Technol China, Dept Automat, Hefei 230026, Anhui, Peoples R China

来源：

INTERNATIONAL JOURNAL OF SPACE-BASED AND SITUATED COMPUTING | 2023年 / 9卷 / 03期

基金：

中国国家自然科学基金;

关键词：

game theory; traffic strategy; intelligent vehicles; vehicle-road collaboration; real-time adjustment;

D O I：

10.1504/IJSSC.2023.133236

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：138 / 146

页数：10

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