全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

对策论下的交叉口TSCA间的多交互学习

DOI: 10.3969/j.issn.1674-0696.2014.01.23, PP. 103-105

Keywords: 对策论,学习,交叉口,gametheorγlearning,intersection

Full-Text   Cite this paper   Add to My Lib

Abstract:

:?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。

References

[1]  Alvarez I, Poznyak A, Malo A. Urban traffic control problem a game theory approach [C]//Proceedings of the 47th IEEE Conference on Decision and Control. Cancun, Mexico: IEEE, 2008: 2168-2172.
[2]  夏新海,许伦辉.交叉口TSCA间的博弈学习协调方法[J].重庆交通大学学报:自然科学版,2010,29(2):269-271.
[3]  Xia Xinhai, Xu Lunhui. Method of intersection agent coordination based on game-learning [J]. Journal of Chongqing Jiaotong University: Natural Science, 2010, 29(2): 269-271.
[4]  石纯一.基于Agent 的计算[M].北京:清华大学出版社,2007:149-161.
[5]  Shi Chunyi. Computation Based on Agent [M]. Beijing: Tsinghua University Press, 2007: 149-161.
[6]  汪贤裕,肖玉明.博弈论及其应用[M].北京:科学出版社,2008.
[7]  Wang Xianyu, Xiao Yuming. Game Theory and Its Application [M]. Beijing: Science Press, 2008.
[8]  Shamshirband S. A distributed approach for coordination between traffic lights based on game theory [J]. The International Arab Journal of Information Technology, 2012, 9(2): 148-152.
[9]  李振龙,陈德望.交通信号区域协调优化的多智能体博弈模型[J].公路交通科技,2004,21(1):85-88.
[10]  Li Zhenlong, Chen Dewang. A game theoretical model of multi-agents in area coordination and optimization of traffic signals [J]. Journal of Highway and Transportation, 2004, 21(1): 85-88.
[11]  刘建美,马寿峰.交通诱导-出行信号博弈分析及其虚拟行动学习模型[J].武汉大学学报:工学版,2010,43(1):102-107.
[12]  Liu Jianmei, Ma Shoufeng. Analysis of guidance-travel signaling game and fictitious play model [J]. Journal of Wuhan University: Engineering, 2010, 43(1): 102-107.
[13]  马寿峰.一种基于agent协调的两路口交通控制方法[J].系统工程学报,2003,6(3):273-278
[14]  Ma Shoufeng. Agent-based traffic coordination control method for two adjacent intersections [J]. Journal of Systems Engineering, 2003, 6(3): 273- 278.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133