交通运输系统工程与信息 ›› 2009, Vol. 9 ›› Issue (2): 50-55 .

• 智能交通系统与信息技术 • 上一篇    下一篇

ATIS影响下的基于广义成本的随机用户平衡模型

李昕;刘澜*;戢晓峰   

  1. 西南交通大学 交通运输学院 成都 610031
  • 收稿日期:2008-08-01 修回日期:2008-10-06 出版日期:2009-04-25 发布日期:2009-04-25
  • 通讯作者: 刘澜
  • 作者简介:李昕(1984-),男,湖南邵阳人,硕士生
  • 基金资助:

    国家863高技术研究发展计划项目(2006AA11Z206).

Stochastic User Equilibrium Model Based on Generalized Cost under the Influence of ATIS

LI Xin; LIU Lan; JI Xiao-feng   

  1. School of Traffic and Transportation, Southwest Jiaotong University, Chengdu 610031, China
  • Received:2008-08-01 Revised:2008-10-06 Online:2009-04-25 Published:2009-04-25
  • Contact: LIU Lan

摘要: 在考虑交通信息对出行者路径选择行为影响的基础上,运用随机用户平衡配流的基本思想和交通流理论,提出了广义成本的概念。将广义成本定义为行驶时间、道路拥挤度、路段可靠性三者的线性加权和。将出行者划分为“有ATIS接受装置”和“无ATIS接受装置”两类。假定在路网随机变化的情况下,两类出行者均以广义成本费用最小作为路径选择准则,建立了ATIS影响下的基于广义成本的随机用户平衡模型。证明了模型的等价性和解的唯一性,并利用对角化算法和MSA算法设计了模型求解算法。通过一个算例表明:算法具有较好的收敛性,且该模型能反映出行者在交通信息影响下的随机路网中的路径选择行为。

关键词: 交通工程, 随机用户平衡, 广义成本, 路径选择, ATIS, 路段可靠性

Abstract: Travelers’ route choice behaviors are frequently influenced by ATIS. The study proposed a concept of generalized cost based on the stochastic user equilibrium assignment and the traffic flow theory. The generalized cost was defined as the linear weighted sum of travel time, traffic congestion degree, and section reliability. The travelers were divided into two classes: namely, “travelers with ATIS equipment” and “travelers without ATIS equipment”. With consideration of the stochastic variations of link capacity, travelers were assumed to choose their optimal routes while their generalized costs were minimized. Under those assumptions, a stochastic user equilibrium model was developed. An algorithm for the model using the diagonalization algorithm and MSA algorithm was also proposed. The equivalence and uniqueness of solution of the proposed model were demonstrated. Numerical example showed that the algorithm has a good convergence performance, and the proposed model can reflect the travelers’ route choice behavior in stochastic road networks under the influence of traffic information.

Key words: traffic engineering, stochastic user equilibrium, generalized cost, route choice, advanced traveler information systems (ATIS), section reliability

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