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Identifying the Onset of Congestion Rapidly with Existing Traffic Detectors

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  • Coifman, Benjamin

Abstract

From an operations standpoint, the most important task of a traffic surveillance system is determining reliably whether the facility is free flowing or congested. The second most important task is responding rapidly when the facility becomes congested. Other tasks, such as quantifying the magnitude of congestion, are desirable, but tertiary. To address the first two tasks, this paper presents a new approach for traffic surveillance using existing detectors. Rather than expending a considerable effort to detect congested conditions, the research employs a relatively simple strategy to look for free flow traffic. The work should prove beneficial for traffic management and traveler information applications and it promises to be deployable in the short term. Keywords: traffic surveillance, loop detectors, travel time measurement, vehicle reidentification, Congested traffic

Suggested Citation

  • 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.
  • Handle: RePEc:cdl:itsrrp:qt9q38f6q1
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
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    Cited by:

    1. Coifman, Benjamin, 2002. "Estimating travel times and vehicle trajectories on freeways using dual loop detectors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(4), pages 351-364, May.

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