Traffic assignment paradox incorporating congestion and stochastic perceived error simultaneously

Jia Yao, Zhanhong Cheng, Jingtong Dai, Anthony Chen, Shi An

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)


This paper analyses the effects of congestion and stochastic perceived error in stochastic traffic assignment paradox, by the measure of both actual and perceived travel cost. Two different circumstances are studied: improving an existing link and adding a new link. It is found that different congestion cost functions and perceived error levels will significantly affect the road condition and the demand level under which paradox happens. Moreover, how the interaction between traffic demands of different O-D pairs affects the occurrence of traffic paradox is illustrated by a two O-D pairs’ network. Besides, a counter-intuitive phenomenon when less stochastic perceived error yet increases the average travel cost (information paradox) is also discussed. The results of this paper help to understand the interactional impact of congestion and stochastic perceived error, and give some new insights to traffic paradox.

Original languageEnglish
Pages (from-to)307-325
Number of pages19
JournalTransportmetrica A: Transport Science
Issue number2
Publication statusPublished - 2 Jan 2019


  • congestion effect
  • stochastic perceived error
  • stochastic user equilibrium
  • Traffic paradox

ASJC Scopus subject areas

  • Transportation
  • General Engineering


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