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The use of simulation in the design of a road transport incident detection algorithm

Author

Listed:
  • B J Waterson

    (The Transportation Research Group, University of Southampton)

  • T J Cherrett

    (The Transportation Research Group, University of Southampton)

  • M McDonald

    (The Transportation Research Group, University of Southampton)

Abstract

Automatic incident detection is becoming one of the core tools of urban traffic management, enabling more rapid identification and response to traffic incidents and congestion. Existing traffic detection infrastructure within urban areas (often installed for traffic signal optimization) provides urban traffic control systems with a near continuous stream of data on the state of traffic within the network. The creation of a simulation to replicate such a data stream therefore provides a facility for the development of accurate congestion detection and warning algorithms. This paper describes firstly the augmentation of a commercial traffic model to provide an urban traffic control simulation platform and secondly the development of a new incident detection system (RAID—Remote Automatic Incident Detection), with the facility to use the simulation platform as an integral part of the design and calibration process. A brief description of a practical implementation of RAID is included along with summary evaluation results.

Suggested Citation

  • B J Waterson & T J Cherrett & M McDonald, 2005. "The use of simulation in the design of a road transport incident detection algorithm," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(11), pages 1250-1257, November.
  • Handle: RePEc:pal:jorsoc:v:56:y:2005:i:11:d:10.1057_palgrave.jors.2601973
    DOI: 10.1057/palgrave.jors.2601973
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    References listed on IDEAS

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    1. T Cherrett & F Mcleod & H Bell & M McDonald, 2002. "Journey time estimation using single inductive loop detectors on non-signalised links," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(6), pages 610-619, June.
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