华南理工大学学报(自然科学版) ›› 2010, Vol. 38 ›› Issue (7): 84-89,100.doi: 10.3969/j.issn.1000-565X.2010.07.015

• 交通与运输工程 • 上一篇    下一篇

基于累积前景理论的出行者路径选择模型

刘玉印 刘伟铭 吴建伟   

  1. 华南理工大学 土木与交通学院, 广东 广州 510640
  • 收稿日期:2009-10-13 修回日期:2009-12-13 出版日期:2010-07-25 发布日期:2010-07-25
  • 通信作者: 刘玉印(1983-),男,博士生,主要从事交通信息工程与控制研究 E-mail: liuyuyin@126.com
  • 作者简介:刘玉印(1983-),男,博士生,主要从事交通信息工程与控制研究.
  • 基金资助:

    国家自然科学基金资助项目(50978106)

Route Choice Model of Traveler Based on Cumulative Prospect Theory

Liu Yu-yin Liu Wei-ming Wu Jian-wei   

  1. School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2009-10-13 Revised:2009-12-13 Online:2010-07-25 Published:2010-07-25
  • Contact: 刘玉印(1983-),男,博士生,主要从事交通信息工程与控制研究 E-mail: liuyuyin@126.com
  • About author:刘玉印(1983-),男,博士生,主要从事交通信息工程与控制研究.
  • Supported by:

    国家自然科学基金资助项目(50978106)

摘要: 传统的基于期望效用理论的路径选择模型存在许多不足,而累计前景理论则可以比较真实的描述不确定性情况下的决策过程,符合出行者有限理性的特点.文中以累积前景理论为基础,在路径出行效用连续随机分布的条件下对出行者的感知效用进行建模,并结合模型的变量对模型的特性进行了分析,最后通过实例对比分析了分别应用期望效用理论和累积前景理论时,出行者路径选择行为的差异。结果表明,累积前景理论能够克服期望效用理论的许多不足,更好地描述出行者路径选择的决策过程.文中还通过对参考点和路径出行效用分布的分析,为智能交通控制系统和仿真建模提供了理论支持.

关键词:
感知效用,
连续分布, 有限理性, 累积期望理论, 路径选择

Abstract:

The traditional route choice models based on expected utility ( EU) are of many disadvantages,while the cumulative prospect theory ( CPT) that accords with traveler's bounded rationality can provide an accurate description of traveller's decision-making process in uncertain conditions. This paper establishes a CPT-based model for traveler's perceive ultility under the condition of random continuous path ultility distribution,and analyzes the properties of the model combined with related variables. Then,a case study is conducted to analyze the difference of traveller's route choice behaviors respectively based on the EU and the CPT,finding that the CPT is superior to the EU in terms of describing traveller's decision-making process. Finally,the reference point and the route utility distribution are analyzed,which provides a theoritical foundation for the investigation into intelligent traffic control system and its simulation modelling.

Key words: perception ultility, continuous distribution, bounded rationality, cumulative prospect theory, route choice