Congestion Management Methods Based on Traffic Information Granular Computing

In order to provide decision support for regional network congestion management, Granular computing theory was applied in traffic information processing. Traffic information granule and its granularity were defined, and then a methodology that provides a framework of congestion management for regional network was presented based on traffic information granular computing. A method was proposed for traffic state information granule construction based on extension set, and then the visualization traffic flow feature granule construction method was proposed. The numerical results of a case study indicates that the traffic state information granule can identify traffic state on line, and traffic flow feature granule can satisfy the needs of congestion management better. The results show that the existing traffic information processing methods could be integrated based on traffic information granular computing, and also can improve efficiency of congestion management.

• Record URL:
  https://doi.org/10.1061/41039(345)398
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784410394
• Supplemental Notes:
  • © 2009 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Ji, Xiaofeng
  • Liu, Lan
  • He, Zenghui
  • Li, Xin
• Conference:
  • Second International Conference on Transportation Engineering
  • Location: Chengdu , China
  • Date: 2009-7-25 to 2009-7-27
• Publication Date: 2009-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 2407-2412
• Monograph Title: International Conference on Transportation Engineering 2009

Subject/Index Terms

• TRT Terms: Congestion management systems; Decision support systems; Highway traffic control; Information management; Traffic congestion; Traffic flow; Traveler information and communication systems
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01529605
• Record Type: Publication
• ISBN: 9780784410394
• Files: TRIS, ASCE
• Created Date: Nov 12 2013 1:41PM