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A Review of Dynamic Traffic Assignment Computer Packages

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  • Jeihani, Mansoureh

Abstract

This paper reviews the dynamic traffic assignment models in some well-known computer packages. It describes demand estimation, supply presentation, methods for computing dynamic user equilibria, and convergence among these packages with a concentration on TRANSIMS. TRANSIMS tries to take advantage of both precision and computational speed by estimating second-by-second movements of individual travelers and applying parallel processing and cellular automata methods. Although TRANSIMS addresses some of the existing problems in dynamic traffic assignment models, more studies on it and improvements in it are still needed.

Suggested Citation

  • Jeihani, Mansoureh, 2007. "A Review of Dynamic Traffic Assignment Computer Packages," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 46(2).
    • Handle: RePEc:ags:ndjtrf:206884
    DOI: 10.22004/ag.econ.206884
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    File URL: https://ageconsearch.umn.edu/record/206884/files/1021-1131-1-PB.pdf
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    References listed on IDEAS

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    1. Beckman, Richard J. & Baggerly, Keith A. & McKay, Michael D., 1996. "Creating synthetic baseline populations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(6), pages 415-429, November.
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    Cited by:

    1. Duong Viet Thong & Aviv Gibali & Mathias Staudigl & Phan Tu Vuong, 2021. "Computing Dynamic User Equilibrium on Large-Scale Networks Without Knowing Global Parameters," Networks and Spatial Economics, Springer, vol. 21(3), pages 735-768, September.
    2. Ke Han & Gabriel Eve & Terry L. Friesz, 2019. "Computing Dynamic User Equilibria on Large-Scale Networks with Software Implementation," Networks and Spatial Economics, Springer, vol. 19(3), pages 869-902, September.

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