中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2010, Vol. 29 ›› Issue (2): 269-271.

• • 上一篇    下一篇

交叉口Agent 间的博弈学习协调方法

夏新海1,2,许伦辉1   

  1. 1.华南理工大学土木与交通学院,广东 广州 510640 2.广州航海高等专科学校港航管理系,广东 广州 510725
  • 收稿日期:2009-11-19 修回日期:2010-01-08 出版日期:2010-04-15 发布日期:2015-01-22
  • 作者简介:夏新海(1978—),男,湖北团风人,讲师,博士,主要从事交通运输方面的研究。E-mail:xiaxinhai@126.com。
  • 基金资助:
    国家自然科学基金项目(60664001)

Method of Intersection Agent Coordination Based on Game-learning

XIA Xin-hai1,2,XU Lun-hui1   

  1. 1.School of Civil Engineering & Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China; 2.Department of Port & Shipping Management,Guangzhou Marine College,Guangzhou 510725,Guangdong,China
  • Received:2009-11-19 Revised:2010-01-08 Online:2010-04-15 Published:2015-01-22

摘要: 将Multi-agent应用在城市交叉口交通协调控制中。通过引入交通信号控制Agent,分析Agent的协调过程;以 交通信号控制Agent为角色,建立了相互关联的城市交叉口资源动态协调配置抽象模型;应用对策论作为协调实 现途径,并且以分布式Q强化学习中Q值更新作为其效用函数。通过对两交叉口协调实例分析,证明了采用博弈 学习协调方法的有效性。

关键词: 协调, 交叉口, 对策论, 学习

Abstract: Coordination based on Muli-agent constitutes a focus of open,distributed,complicated systems. In this paper, this technique was applied to urban intersection traffic coordination control. The coordination mechanism of traffic signal control Agent was analyzed. The abstract dynamic model of coordinated distribution of resources about interactive intersections was put forward used traffic signal control Agent as a role. The method of Game Theory was applied to realize the coordination ,and the renewed Q-value in the distributed reinforcement Q-learning was used to build the payoff values in the method of game theory. By comparing the method with and without coordination by an experiment of two intersections ,the result indicates that the coordination method based on Game-learning is effective

Key words: coordination, intersection, Game Theory, learning

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