交通运输系统工程与信息 ›› 2012, Vol. 12 ›› Issue (3): 31-35.

• 智能交通系统与信息技术 • 上一篇    下一篇

道路指引信息发布下的随机交通分配

李军*,黄琳   

  1. 中山大学智能交通研究中心,广东省智能交通系统重点实验室,广州 510275
  • 收稿日期:2012-02-01 修回日期:2012-03-12 出版日期:2012-06-24 发布日期:2012-07-03
  • 作者简介:李军(1968-),男,湖北江陵人, 副教授,工学博士.
  • 基金资助:

    国家自然科学基金项目(51178475).

Stochastic Traffic Assignment Considering Road Guidance Information

LI Jun, HUANG Lin   

  1. Research Center of Intelligent Transportation System, Guangdong Provincial Key Laboratory of Intelligent Transportation System, Sun Yat-sen University, Guangzhou 510275, China
  • Received:2012-02-01 Revised:2012-03-12 Online:2012-06-24 Published:2012-07-03

摘要:

提出考虑信息接收程度的Logit型随机交通分配方法,来计算道路指引信息发布下路网交通的重新分配.出行者被划分成两类,一类根据信息的指引出行,另一类则以Logit型的随机方式进行路径选择;利用道路指引信息的市场占有率的概念,给出这两种出行行为共存下的网络加载算法,并运用逐次平均法实现了拥挤网络中的交通分配.数值试验结果表明,发布良好的道路指引信息有助于提高路网运行效率;对拥挤网络中的给定OD,存在一个最佳的占有率,并随着交通需求的增加而增加;在合理的占有率下,增加信息指引路段可有效降低路网运行时间.

关键词: 交通工程, 随机交通分配, 网络加载, 道路指引信息, 市场占有率

Abstract:

A Logit-based stochastic traffic assignment method considering the acceptance of traffic information is proposed to evaluate the impact of road guidance information on flow patterns. Travelers are divided into two groups by market penetration, namely, one group following the guidance information and the other one choosing routes normally for which a Logit-style choice model is applied. A mixed stochastic network loading algorithm according to the mixed behavior is proposed, and the method of successive average (MSA) is then employed to assign traffic in congested network. The numerical examples show that proper information can improve network performance and there exists a best market penetration for given OD. It is found that the best market penetration increases when traffic demand becomes higher, and overall network time can be reduced even more by adding guidance properly.

Key words: traffic engineering, stochastic traffic assignment, network loading, road guidance information, market penetration

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