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Vehicle Reidentification and Travel Measurements on Congested Freeways

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  • Coifman, Benjamin

Abstract

This paper presents a vehicle reidentification algorithm for consecutive detector stations on a freeway, whereby a vehicle measurement made at a downstream detector station is matched with the vehicle's corresponding measurement at an upstream station. The method is illustrated using measured vehicle lengths from paired loop detector speed traps. Where speed traps are quite common, often placed at half mile spacings or less on urban freeways. In conventional operation, these detectors only monitor traffic conditions over the loops, leaving most of the freeway unmonitored. By taking the difference in known arrival times for a matched vehicle, it is possible to measure true link travel time and thus, quantify conditions between detector stations. This approach is significant because no one has attempted to use the existing detector infrastructure to match vehicle measurements between detector stations. The results of this work suggest that it is possible to extract a sufficient number of vehicle matches for traffic surveillance applications, while accepting few, if any, false positives. Thus, with the new algorithm, it will be possible to evaluate applications of travel time data without deploying new detector hardware. Keywords: traffic surveillance, loop detectors, travel time measurement, vehicle reidentification

Suggested Citation

  • Coifman, Benjamin, 1999. "Vehicle Reidentification and Travel Measurements on Congested Freeways," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0zt5n54b, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt0zt5n54b
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    References listed on IDEAS

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    1. Coifman, Benjamin Andre, 1998. "Vehicle Reidentification and Travel Time Measurement Using Loop Detector Speed Traps," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5d69n86x, Institute of Transportation Studies, UC Berkeley.
    2. Westerman, Marcel & Litjens, Remco & Linnartz, Jean-paul, 1996. "Integration Of Probe Vehicle And Induction Loop Data: Estimation Of Travel Times And Automatic Incident Detection," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8mh629c3, Institute of Transportation Studies, UC Berkeley.
    3. Lin, Wei-Hua & Daganzo, Carlos F., 1997. "A simple detection scheme for delay-inducing freeway incidents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(2), pages 141-155, March.
    4. Dailey, D. J., 1993. "Travel-time estimation using cross-correlation techniques," Transportation Research Part B: Methodological, Elsevier, vol. 27(2), pages 97-107, April.
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    Cited by:

    1. Coifman, Benjamin, 1999. "Identifying the Onset of Congestion Rapidly with Existing Traffic Detectors," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9q38f6q1, Institute of Transportation Studies, UC Berkeley.

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