Journal of South China University of Technology (Natural Science Edition) ›› 2014, Vol. 42 ›› Issue (12): 58-63.doi: 10.3969/j.issn.1000-565X.2014.12.009

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Day-to-Day Traffic Assignment Model Based on Cumulative Prospect Theory

Zhang Xi1 Pu Yun2 Liu Hai-xu2   

  1. 1.School of Economics and Management,Southwest Jiaotong University,Chengdu 610031,Sichuan,China;2.School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,Sichuan,China
  • Received:2014-05-09 Revised:2014-09-23 Online:2014-12-25 Published:2014-11-17
  • Contact: 张玺(1982-)，男，博士后，主要从事道路网络系统优化研究． E-mail:clarx_zhang@163.com
  • About author:张玺(1982-)，男，博士后，主要从事道路网络系统优化研究．
  • Supported by:

    国家自然科学基金资助项目(51278429)

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Abstract:

As compared with the network equilibrium assignment model based on the equilibrium principle,theday-to-day traffic assignment model is more feasible due to its capability to describe the disequilibrium status of anetwork system.In order to overcome the defects of the expected utility theory-based route choice model of trave-lers,the cumulative prospect theory is used to obtain the cumulative prospect value of the traveler route with thecharacteristic of reference point dependency.Assuming that travelers are the followers of the maximum cumulativeprospect of routes,a route switching model for network systems is constructed according to the discrepancy betweendifferent route cumulative prospects,and then a day-to-day dynamic assignment model is proposed.Finally,theproposed assignment model is verified by a numerical test on a network.The results show that the proposed assign-ment model can describe travelers' boundedly rational behavior considering stochastic risks in dynamic decision-making contexts.

Key words: road network, bounded rationality, day-to-day dynamic, assignment model

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