IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-28091-0_13.html
   My bibliography  Save this book chapter

Congestion Due to Merging Roads: Predictions of Three-Phase Traffic Theory

In: Traffic and Granular Flow ’03

Author

Listed:
  • B.S. Kerner

    (DaimlerChrysler AG, RIC/TN, HPC: T729)

  • S.L. Klenov

    (Moscow Institute of Physics and Technology, Department of Physics)

  • D.E. Wolf

    (University Duisburg-Essen, Institute of Physics)

Abstract

Summary Congested traffic patterns at a symmetric merger of two single-lane roads into one road are studied in the KKW-model, a cellular automaton that traces all observed congestion patterns back to two basic concepts: A typical distance below which a driver decides to adjust his speed to the one of the car in front, and the minimal distance between cars that is compatible with secure driving. The diagram of congested patterns in the flow-flow plane whose co-ordinates are the inflow rates onto the two merging roads is determined. Depending on the parameters, every congestion pattern can occur on either road, but not all combinations of patterns on both roads are realized. There is no indication of spontaneous symmetry breaking: Equal demand on both roads leads to the same type of pattern on both sides.

Suggested Citation

  • B.S. Kerner & S.L. Klenov & D.E. Wolf, 2005. "Congestion Due to Merging Roads: Predictions of Three-Phase Traffic Theory," Springer Books, in: Serge P. Hoogendoorn & Stefan Luding & Piet H. L. Bovy & Michael Schreckenberg & Dietrich E. Wolf (ed.), Traffic and Granular Flow ’03, pages 161-172, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-28091-0_13
    DOI: 10.1007/3-540-28091-X_13
    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:978-3-540-28091-0_13. 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.