On-line Distributed Prediction of Traffic Flow in a Large-Scale Traffic Network

For online traffic control at traffic control centers there is a need for predictions of traffic flow over a short horizon to evaluate the impact of different scenario for the purpose of on-line scenarios selection. Fast computation is needed for the online decision support system. However, the common approach of a parallel simulation has several drawbacks. In this paper, a novel approach by state matching is presented to predict the traffic flow in a large-scale traffic network in a parallel and distributed way with a reasonably small computation time.

  • Supplemental Notes:
    • Abstract reprinted with permission from Intelligent Transportation Society of America.
  • Corporate Authors:

    ITS America

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    Washington, DC  United States  20036
  • Authors:
    • Wang, Yubin
    • van Schuppen, Jan H
    • Vrancken, Jos
  • Conference:
  • Publication Date: 2012

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: CD-ROM; Figures; References; Tables;
  • Pagination: 15p
  • Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

Filing Info

  • Accession Number: 01494078
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 17 2013 10:43AM