IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-59751-0_46.html

CA Models for Traffic Flow: Comparison with Empirical Single-Vehicle Data

In: Traffic and Granular Flow ’99

Author

Listed:
  • W. Knospe

    (Gerhard-Mercator-Universität, Physik von Transport und Verkehr)

  • L. Santen

    (Universität zu Köln, Institut für Theoretische Physik)

  • A. Schadschneider

    (Universität zu Köln, Institut für Theoretische Physik)

  • M. Schreckenberg

    (Gerhard-Mercator-Universität, Physik von Transport und Verkehr)

Abstract

Although traffic simulations with cellular-automata models give meaningful results compared with empirical data, highway traffic requires a more detailed description of the elementary dynamics. Based on recent empirical studies we present a modified Nagel-Schreckenberg cellular automaton model which incorporates both a slow-to-start and an anticipation rule, which takes into account especially brake lights. The focus in this article lies on the comparison with empirical single-vehicle data.

Suggested Citation

  • W. Knospe & L. Santen & A. Schadschneider & M. Schreckenberg, 2000. "CA Models for Traffic Flow: Comparison with Empirical Single-Vehicle Data," Springer Books, in: Dirk Helbing & Hans J. Herrmann & Michael Schreckenberg & Dietrich E. Wolf (ed.), Traffic and Granular Flow ’99, pages 431-436, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-59751-0_46
    DOI: 10.1007/978-3-642-59751-0_46
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-3-642-59751-0_46. 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.springer.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.