Incident detection methods using probe vehicles with on-board GPS equipment

Mobile communication instruments have made detecting traffic incidents possible by using floating traffic data. This paper studies the properties of traffic flow dynamics during incidents and proposes incident detection methods using floating data collected by probe vehicles equipped with on-board global positioning system (GPS) equipment. The proposed algorithms predict the time and location of traffic congestion caused by an incident. The detection rate and false rate of the models are examined using a traffic flow simulator, and the performance measures of the proposed methods are compared with those of previous methods.

• Record URL:
  https://doi.org/10.1016/j.trc.2016.11.023
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0968090X16302479
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Asakura, Yasuo
  • Kusakabe, Takahiko
  • Nguyen, Long Xuan
  • Ushiki, Takamasa
• Publication Date: 2017-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 330-341
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 81
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Algorithms; Expressways; Global Positioning System; Incident detection; Location; Probe vehicles; Traffic congestion; Traffic flow; Urban highways
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01642388
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 27 2017 2:14PM