A Comparative Study of the Cross Entropy Approach with the State–of-the-art Simulation-based Traffic Assignment Algorithms

This paper presents a path-based cross entropy algorithm for solving simulation-based dynamic traffic assignment problem. The performance of the cross entropy algorithm is compared with two state-of-the-art algorithms: method of successive averages and gap function based projection algorithm. The dynamic network loading model is based on a mesoscopic queue model complying with generic first order macroscopic node model. The computational study implemented on four realistic networks shows the cross entropy method provides satisfactory convergence accuracy to user equilibrium.

• Record URL:
  https://doi.org/10.1016/j.sbspro.2012.09.792
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877042812042541
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Ma, Tai-Yu
• Conference:
  • 15th Meeting of the EURO Working Group on Transportation
  • Location: Paris , France
  • Date: 2012-9-10 to 2012-9-13
• Publication Date: 2012-10-4

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 749-757
• Serial:
  • Procedia - Social and Behavioral Sciences
  • Volume: 54
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0428
  • Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Algorithms; Dynamic traffic assignment; Shortest path algorithms; Traffic equilibrium; Traffic flow; Traffic simulation
• Subject Areas: Highways; Planning and Forecasting; I71: Traffic Theory;

Filing Info

• Accession Number: 01487038
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 3 2013 1:35PM