车辆路径选择对交通流分布的影响

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (933 KB) HTML ()
输出: BibTeX | EndNote (RIS)

摘要 When no guidance information is available, drivers often depend on recent experience to select a travel route.This paper is based on the theory of behavior reinforcement, establishing a vehicle route choosing model with out guidance information. The model is based on a finite rational fuzzy game.The game equilibrium results are obtained under different initial conditions. Numerical simulation shows that with no guidance information, the traffic flow distribution of the network eventually reaches a balance given by theoretical analysis. Some network environments form a stable equilibrium game that does not release induction information. However, in other network environments, the traffic flow distribution forms a non-stable equilibrium game.Therefore, the traffic capacity of the entire network cannot be taken advantage of, and certain management measures must be considered.

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	彭勇
	李邦兰
	周代平

关键词 ： traffic engineering, traffic flow distribution, fuzzy game, path selection, Self-learning mechanism

Abstract：When no guidance information is available, drivers often depend on recent experience to select a travel route.This paper is based on the theory of behavior reinforcement, establishing a vehicle route choosing model with out guidance information. The model is based on a finite rational fuzzy game.The game equilibrium results are obtained under different initial conditions. Numerical simulation shows that with no guidance information, the traffic flow distribution of the network eventually reaches a balance given by theoretical analysis. Some network environments form a stable equilibrium game that does not release induction information. However, in other network environments, the traffic flow distribution forms a non-stable equilibrium game.Therefore, the traffic capacity of the entire network cannot be taken advantage of, and certain management measures must be considered.

Key words： traffic engineering traffic flow distribution fuzzy game path selection Self-learning mechanism

收稿日期: 2016-05-25

基金资助:Supported by the Fund of National Engineering and Research Center for Highways in Mountain Area(No. gsgzj-2012-12)

通讯作者: PENG Yong,E-mail address:pengyong@cquc.edu.cn E-mail: pengyong@cquc.edu.cn

引用本文:

彭勇, 李邦兰, 周代平. 车辆路径选择对交通流分布的影响[J]. Journal of Highway and Transportation Research and Development, 2017, 11(1): 84-90.
PENG Yong, LI Bang-lan, ZHOU Dai-ping. The Influence of Traffic Distribution by Route Choice Behavior: Under the Condition of No Inducing Information Based on the Limited Rational Fuzzy Game. Journal of Highway and Transportation Research and Development, 2017, 11(1): 84-90.

链接本文:

http://manu27.magtech.com.cn/Jwk_gljtkj_en/CN/ 或 http://manu27.magtech.com.cn/Jwk_gljtkj_en/CN/Y2017/V11/I1/84

[1] LI Zheng-long. A Study of Route Choice Behavior of Drivers Based on the Evolutionary Game under the Condition of Traffic Flow Guidance[J]. Transportation Systems Engineering and Information,2003,3(2):23-27. (in Chinese)
[2] LU Cong-lin.The Models of Driver's Response Behavior with Game Theory under Guide Information[J]. Transportation Systems Engineering and Information,2005,5(1):58-61. (in Chinese)
[3] LIU Jian-mei,MA Shou-feng.Evolutionary Game Mode about Individual Travel Route Choice Based on Bounded Rationality[J]. Control and Decision, 2009,24(10):1450-1454. (in Chinese)
[4] LIU J M,MA S F, HUANG C C, et al. A Dimension-reduced Method of Sensitivity Analysis for Stochastic User Equilibrium Assignment Model[J]. Applied Mathematical Modelling,2010,34(2):325-333.
[5] LIU J M,MA S F. Algorithms of Game Models on Individual Travel Behavior[J]//The 8th International IEEE Conference of Chinese Logistics and Transportation Professionals. Chengdu:IEEE, 2008,3060-3066.
[6] LIU Jian-mei,MA Shou-feng,MA Shuai-qi. Comparison and Analysis of a Variety of Individual Travel Model Game[J] Statistics and Decision,2014(2):52-54. (in Chinese)
[7] YANG H, KITAMURA R,JOVANIS P P,et al. Exploration of Route Choice Behavior with Advanced Traveler Information Using Neural Network Concepts[J].Transportation,1993,20(2):199-223.
[8] XIE Zhi-yu. Economic Game Theory[M]. Version 2. SHANG Hai:Fudan University Press, 2002. (in Chinese)
[9] WANG Ji-chuan, GUO Li-fang. Study on Inhibition of "Free-riding" Phenomenon in Team Cooperation-Based on Replicator Dynamic Model of Evolutionary Game Theory[J]. Technology Management Research, 2013,12(21):191-195. (in Chinese)
[10] SKINNER B F. The Behavior of Organisms:An Experimental Analysis[M]. New York:Appleton-Century Company,1938:110-150. (in Chinese)
[11] ZHOU Yuan-feng.Driver Route Choice Behavior in the Presence of VMS Information in Beijing[J].Proceedings of Traffic and Road Safety Third International Congress,2006.
[12] OUTRAM V E,THOMPSON E. Driver Route Choice[C]//Proceedings of the PTRC Summer Annual Meeting. Warwick:University of Warwick UK, 1977:35-42..
[13] YANG Pei-kun,QIAN Lin-bo. Researeh on Link Travel Time Funetions for Traffic Assignment[J]. Tongji University:Natural Science Edition,1994,22(1):41-44. (in Chinese)
[14] YANG Lun-biao,GAO Ying-yi,LING Wei-xin. Fuzzy Mathematical Theory and Application[M]. Guangzhou:South China University of Technology Press,2011:1-27.(in Chinese)