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Massively Parallel Computation of Dynamic Traffic Problems Modeled as Projected Dynamical Systems

  • Anna Nagurney

    ()

    (Department of Finance and Operations Management, University of Massachusetts)

  • Ding Zhang

    (Department of Industrial Engineering and Operations Research, University of Massachusetts)

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    Traffic congestion in the United States alone results in $n100 billion in lost productivity. In this paper we consider the modeling and solution of dynamic traffic models formulated as projected dynamical systems. The proposed discrete time algorithm, the Euler method, resolves the problem at each step into subproblems in path flow variables, all of which can be solved simultaneously and in closed form. Convergence results are also presented. Finally, the algorithm is implemented on the massively parallel architecture, the Thinking Machine's CM-5, and its performance compared to an implementation on the IBM SP2 on several traffic network examples.

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    File URL: http://www.unige.ch/ce/ce96/ps/nagurne1.eps
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    Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 1996 with number _039.

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    Handle: RePEc:sce:scecf6:_039
    Contact details of provider: Postal: Department of Econometrics, University of Geneva, 102 Bd Carl-Vogt, 1211 Geneva 4, Switzerland
    Web page: http://www.unige.ch/ce/ce96/welcome.html

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    1. Smith, M. J., 1979. "The existence, uniqueness and stability of traffic equilibria," Transportation Research Part B: Methodological, Elsevier, vol. 13(4), pages 295-304, December.
    2. Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1, March.
    3. Nagurney, Anna & Takayama, Takashi & Zhang, Ding, 1995. "Massively parallel computation of spatial price equilibrium problems as dynamical systems," Journal of Economic Dynamics and Control, Elsevier, vol. 19(1-2), pages 3-37.
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