Application of Probe Data to Traffic Management in an Urban Road Network

In recent years, the monitoring of traffic conditions through the use of travel records of probe vehicles, or probe data, has become an active area of research and development. Such data include the latitude and the longitude of each probe vehicle, from which we can reconstruct the traveling trajectory, and use the information to implement traffic management strategies. This paper describes a study that is conducted to evaluate the feasibility of making use of probe data in an urban area. The authors collected probe data of taxis traveling around Tokyo and Yokohama City, and estimated traffic conditions of ordinary roads including local streets where no vehicle detectors were available. It is found that the probe data can be significantly utilized for traffic management purposes in spite of their sparseness. Moreover, the results suggest that if the data are accumulated for sufficiently long periods of time, the estimated accuracy of traffic flow conditions will be successfully achieved.

• 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:
  • Oda, Toshihiko
  • Koga, Mitsuhiko
  • Niikura, Satoshi
• 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;
• Pagination: 7p
• Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

• TRT Terms: Highway traffic control; Probe vehicles; Traffic data; Traffic flow; Traffic surveillance; Urban areas
• Geographic Terms: Tokyo (Japan); Yokohama (Japan)
• Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01499033
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 21 2013 9:14AM