Dynamic stochastic transit assignment with explicit seat allocation model

Agachai Sumalee, Zhijia Tan, Hing Keung William Lam

Research output: Journal article publicationJournal articleAcademic researchpeer-review

89 Citations (Scopus)


This paper proposes a stochastic dynamic transit assignment model with an explicit seat allocation process. The model is applicable to a general transit network. A seat allocation model is proposed to estimate the probability of a passenger waiting at a station or on-board to get a seat. The explicit seating model allows a better differentiation of in-vehicle discomfort experienced by sitting and standing passengers. The paper proposes simulation procedures for calculating the sitting probability of each type of passengers. A heuristic solution algorithm for finding an equilibrium solution of the proposed model is developed and tested. The numerical tests show significant influences of the seat allocation model on equilibrium departure time and route choices of passengers. The proposed model is also applied to evaluate the effects of an advanced public transport information system (APTIS) on travellers' decision-making.
Original languageEnglish
Pages (from-to)895-912
Number of pages18
JournalTransportation Research Part B: Methodological
Issue number8-9
Publication statusPublished - 1 Jan 2009


  • Dynamic transit assignment
  • Schedule-based transit assignment
  • Stochastic simulation model
  • Transit seat allocation

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation


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