MuIti-Interactive Learning for Intersection' s TSCA ?ased on Game Theory

doi:10.3969/j.issn.1674-0696.2014.01.23

Journal of Chongqing Jiaotong University(Natural Science) ›› 2014, Vol. 33 ›› Issue (1): 103-105.DOI: 10.3969/j.issn.1674-0696.2014.01.23

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MuIti-Interactive Learning for Intersection' s TSCA ?ased on Game Theory

Xia Xinhai

School of Port & Shipping Management , Guangzhou Marine Institute , Guangzhou 510725 , Guangdong , China

Received:2012-12-17 Revised:2013-01-20 Online:2014-02-15 Published:2015-01-22

对策论下的交叉口TSCA 间的多交互学习

夏新海

广州航海学院港口与航运管理学院，广东广州510725

作者简介:夏新海(1978 一) ，男，湖北团风人，副教授，博士，主要从事交通运输系统工程方面的研究。E-mail:xiaxinhai@126.com 。
基金资助:
广州市哲学社会科学发展"十二五"规划课题(13G28 )

Abstract

Abstract: According to the mutual relevance between traffic flow and intersections , multi-interaction mathematical model fol' intersection' s Traffic Signal Control Agent (TSCA) was established based on game theory , and the game interactive process for two adjacent intersection' s TSCA was then analyzed. A multi-interactive learning algorithm of the intersection' s TSCA was presented. A case study was then performed to verify the effectiveness and convergence of this method.

Key words: game theorγlearning, intersection

摘要： 针对路网中交叉口之间交通流的相互关联性，利用对策论构建了交叉口TSCA 间多交互数学模型，分析了相邻两交叉口TSCA 间博弈交互过程，提出了交叉口TSCA 间多交互学习算法。实例分析证明了此方法的有效性和收敛性。

关键词: 对策论, 学习, 交叉口

CLC Number:

P642.23
0359

Xia Xinhai. MuIti-Interactive Learning for Intersection' s TSCA ?ased on Game Theory[J]. Journal of Chongqing Jiaotong University(Natural Science), 2014, 33(1): 103-105.

夏新海. 对策论下的交叉口TSCA 间的多交互学习[J]. 重庆交通大学学报（自然科学版）, 2014, 33(1): 103-105.

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MuIti-Interactive Learning for Intersection' s TSCA ?ased on Game Theory

对策论下的交叉口TSCA 间的多交互学习

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