VEHICLE REIDENTIFICATION AND TRAVEL TIME MEASUREMENT ON CONGESTED FREEWAYS

This paper proposes a vehicle reidentification algorithm to match a vehicle's length measurement at a downstream detector station with that vehicle's corresponding measurement at an upstream station. The method is illustrated using existing dual-loop detectors to measure vehicle lengths, although the algorithm is potentially compatible with many vehicle detector technologies. The dual-loop detectors were developed to measure velocity rather than vehicle length, so the measurements can include significant errors. To overcome this problem, the algorithm exploits drivers' tendencies to retain their positions within dense platoons. The task of vehicle reidentification is carried out by matching these platoons rather than individual vehicles. Once a vehicle has been matched across neighboring detector stations, the difference in its arrival time at each station defines the vehicle's travel time on the intervening segment. Findings from an application of the algorithm over a 1/3 mile long segment indicate that a sufficient number of vehicles can be matched for the purpose of traffic surveillance. As such, the algorithm extracts travel time data without requiring the deployment of new detector hardware. The algorithm offers both practical application and research benefits.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
• Corporate Authors:

  Elsevier

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  Kidlington, Oxford  United Kingdom  OX5 1GB
• Authors:
  • Coifman, B
  • Cassidy, M
• Publication Date: 2002-12

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 899-917
• Serial:
  • Transportation Research Part A: Policy and Practice
  • Volume: 36
  • Issue Number: 10
  • Publisher: Elsevier
  • ISSN: 0965-8564
  • Serial URL: http://www.sciencedirect.com/science/journal/09658564

Subject/Index Terms

• TRT Terms: Algorithms; Automatic vehicle identification; Detection and identification systems; Freeways; Length; Loop detectors; Traffic congestion; Traffic platooning; Traffic surveillance; Travel time
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00935729
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Dec 10 2003 12:00AM