IDEAS home Printed from https://ideas.repec.org/a/inm/ortrsc/v12y1978i4p331-352.html
   My bibliography  Save this article

Markov Models of Signpost Sensor AVL Systems

Author

Listed:
  • Richard C. Larson

    (Massachusetts Institute of Technology and Public Systems Evaluation, Inc., Cambridge, Massachusetts)

Abstract

Certain cities are installing signpost sensor AVL (automatic vehicle location) systems. Such systems provide a fixed signpost sensor at a fraction (rho) of intersections; when a vehicle drives through one of these intersections, its position is detected (usually by electronic means) and updated on a master file of estimated vehicle locations. In applications one is interested in system performance as a function of (rho), sensor layout, and vehicle turning behavior. Thin paper develops Markov models for computing (as a function of these characteristics) the probabilistic behavior of the distance traveled between successive passings of sensors. The measure of performance used to compare alternative systems is the coefficient of variation of distance traveled between passings. It is shown that intuitively appealing rectangular sensor layouts are often dominated by other layouts, including (in some cases) totally random positioning of sensors.

Suggested Citation

  • Richard C. Larson, 1978. "Markov Models of Signpost Sensor AVL Systems," Transportation Science, INFORMS, vol. 12(4), pages 331-352, November.
    • Handle: RePEc:inm:ortrsc:v:12:y:1978:i:4:p:331-352
    DOI: 10.1287/trsc.12.4.331
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/trsc.12.4.331
    Download Restriction: no
    File URL: https://libkey.io/10.1287/trsc.12.4.331?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
    ---><---

    Citations

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


    Cited by:

    1. Hyoshin (John) Park & Ali Haghani & Song Gao & Michael A. Knodler & Siby Samuel, 2018. "Anticipatory Dynamic Traffic Sensor Location Problems with Connected Vehicle Technologies," Service Science, INFORMS, vol. 52(6), pages 1299-1326, December.

    More about this item

    Statistics

    Access and download statistics

    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:inm:ortrsc:v:12:y:1978:i:4:p:331-352. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.