Stochastic multi-modal transport network under demand uncertainties and adverse weather condition

Agachai Sumalee, Kenetsu Uchida, Hing Keung William Lam

Research output: Journal article publicationJournal articleAcademic researchpeer-review

90 Citations (Scopus)


This paper proposes a multi-modal transport network assignment model considering uncertainties in both demand and supply sides of the network. These uncertainties are due to adverse weather conditions with different degrees of impacts on different modes. The paper provides the derivations of mean and variance-covariance of the stochastic passenger flows and dis-utility terms involved in the route/mode choice model under the common-line framework. The risk-averse travelers are assumed to consider both the mean and variance of the random perceived travel time on each multi-modal path in their path choice decisions. The model also considers travelers' perception errors by using a Probit stochastic user equilibrium framework which is formulated as fixed point problem. A heuristic solution algorithm is proposed to solve the fixed point problem. Numerical examples are presented to illustrate the applications of the proposed model.
Original languageEnglish
Pages (from-to)338-350
Number of pages13
JournalTransportation Research Part C: Emerging Technologies
Issue number2
Publication statusPublished - 1 Jan 2011


  • Adverse weather
  • Demand and supply uncertainties
  • Multi-modal traffic assignment
  • Stochastic network

ASJC Scopus subject areas

  • Automotive Engineering
  • Transportation
  • Computer Science Applications
  • Management Science and Operations Research


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