This paper develops a cell- based dynamic traffic assignment (DTA) formulation that follows the ideal dynamic user optimal (DUO) principle. Through defining an appropriate gap function, we transform a formulation based on the approach of non- linear complementarity problem (NCP) to an equivalent mathematical program (MP). To improve the accuracy of dynamic traffic modeling, this formulation encapsulates a network version of the Cell Transmission Model (CTM). We set up seven test scenarios to evaluate the properties of this formulation, in the areas of traffic dynamics, traffic interactions across multiple links, and the ideal DUO principle. This formulation produced outputs that are in agreement with what the results ought to be. Namely, the formulation is able to capture dynamic traffic phenomena, such as shock- waves, queue formation and dissipation. Moreover, it is capable of capturing dynamic traffic interactions across multiple links

  • Supplemental Notes:
    • Publication Date: 2000 Transportation Research Board, Washington DC Remarks: Presentation at the 79th annual meeting of the Transportation Research Board, Washington, D.C., January 2000
  • Corporate Authors:

    Texas Transportation Institute

    Texas A&M University System, 3135 TAMU
    College Station, TX  United States  77843-3135
  • Authors:
    • Lo, Hong K
    • Szeto, W Y
  • Conference:
  • Date: 2000


  • English

Media Info

  • Pagination: 37 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00788793
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: Mar 23 2000 12:00AM