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

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Wang, Yubin
  • van Schuppen, Jan H
  • Vrancken, Jos
• Conference:
  • 19th ITS World Congress
  • Location: Vienna , Austria
  • Date: 2012-10-22 to 2012-10-26
• 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

• TRT Terms: Decision support systems; Highway traffic control; Traffic control centers; Traffic flow; Traffic simulation; Traffic surveillance
• Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

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