IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v53y2002i6d10.1057_palgrave.jors.2601348.html
   My bibliography  Save this article

Journey time estimation using single inductive loop detectors on non-signalised links

Author

Listed:
  • T Cherrett

    (The Transportation Research Group, University of Southampton)

  • F Mcleod

    (The Transportation Research Group, University of Southampton)

  • H Bell

    (The Transportation Research Group, University of Southampton)

  • M McDonald

    (The Transportation Research Group, University of Southampton)

Abstract

This paper describes two techniques designed to estimate vehicle journey times on non-signalised roads, using 250 ms digital loop-occupancy data produced by single inductive loop detectors. A mechanistic and a neural network approach provided historical journey time estimates every 30 s, based on the data collected from the previous 30 s period. These 30 s estimates would provide the traffic network operator with immediate post-event congestion information on roads where no close circuit television cameras were present. The mechanistic approach estimated journey times every 30 s between pairs of detectors, using the knowledge of vehicle speed derived from the loops and the distances between them. The 30 s average loop-occupancy time per vehicle, average time-gap between vehicles and percentage occupancy parameters derived from the inductive loops were presented to a neural network for training along with the associated vehicles' measured journey times. The neural network was shown to consistently out-perform the mechanistic approach (in terms of the mean absolute percentage deviation from the mean measured travel time), particularly when using pairs of detectors.

Suggested Citation

  • 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.
  • Handle: RePEc:pal:jorsoc:v:53:y:2002:i:6:d:10.1057_palgrave.jors.2601348
    DOI: 10.1057/palgrave.jors.2601348
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2601348
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/palgrave.jors.2601348?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:jorsoc:v:53:y:2002:i:6:d:10.1057_palgrave.jors.2601348. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.