Modeling impacts of adverse weather conditions on a road network with uncertainties in demand and supply

Hing Keung William Lam, Hu Shao, Agachai Sumalee

Research output: Journal article publicationJournal articleAcademic researchpeer-review

264 Citations (Scopus)


This paper proposes a novel traffic assignment model considering uncertainties in both demand and supply sides of a road network. These uncertainties are mainly due to adverse weather conditions with different rainfall intensities on the road network. A generalized link travel time function is proposed to capture these effects. The proposed model allows the risk-averse travelers to consider both an average and uncertainty of the random travel time on each path in their path choice decisions, together with the impacts of weather forecasts. Elastic travel demand is considered explicitly in the model responding to random traffic condition in the network. In addition, the model also considers travelers' perception errors using a logit-based stochastic user equilibrium framework formulated as fixed point problem. A heuristic solution algorithm is proposed for solving the fixed point problem. Numerical examples are presented to illustrate the applications of the proposed model and efficiency of the solution algorithm.
Original languageEnglish
Pages (from-to)890-910
Number of pages21
JournalTransportation Research Part B: Methodological
Issue number10
Publication statusPublished - 1 Jan 2008


  • Adverse weather
  • Demand uncertainty
  • Stochastic network assignment model
  • Supply uncertainty
  • Travel time reliability
  • Weather forecast

ASJC Scopus subject areas

  • Transportation
  • Management Science and Operations Research


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