A dynamic traffic assignment model for a continuum transportation system

Yanqun Jiang, S. C. Wong, H. W. Ho, Peng Zhang, Ruxun Liu, Agachai Sumalee

Research output: Journal article publicationJournal articleAcademic researchpeer-review

49 Citations (Scopus)


A predictive continuum dynamic user-optimal (PDUO-C) model is formulated in this study to investigate the dynamic characteristics of traffic flow and the corresponding route-choice behavior of travelers within a region with a dense urban road network. The modeled region is arbitrary in shape with a single central business district (CBD) and travelers continuously distributed over the region. Within this region, the road network is represented as a continuum and travelers patronize a two-dimensional continuum transportation system to travel to the CBD. The PDUO-C model is solved by a promising solution algorithm that includes elements of the finite volume method (FVM), the finite element method (FEM), and the explicit total variation diminishing Runge-Kutta (TVD-RK) time-stepping method. A numerical example is given to demonstrate the utility of the proposed model and the effectiveness of the solution algorithm in solving this PDUO-C problem.
Original languageEnglish
Pages (from-to)343-363
Number of pages21
JournalTransportation Research Part B: Methodological
Issue number2
Publication statusPublished - 1 Jan 2011


  • Continuum model
  • Dynamic traffic assignment
  • Finite element method
  • Hamilton-Jacobi equation
  • Path-choice strategy
  • Predictive user-equilibrium

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation


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