IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-47641-2_70.html
   My bibliography  Save this book chapter

States of Traffic Flow in the Deep Lefortovo Tunnel (Moscow): Empirical Data

In: Traffic and Granular Flow’05

Author

Listed:
  • Ihor Lubashevsky

    (A. M. Prokhorov General Physics Institute of Russian Academy of Sciences)

  • Cyril Garnisov

    (Research and Project Institute for City Public Transport)

  • Reinhard Mahnke

    (Universität Rostock, Institut für Physik)

  • Boris Lifshits

    (Research and Project Institute for City Public Transport)

  • Mikhail Pechersky

    (Research and Project Institute for City Public Transport)

Abstract

Summary The paper analyses traffic flow data collected in the Lefortovo tunnel (Moscow) in 2004/05. First, it shows the presence of cooperative traffic dynamics in this tunnel and, second, studies the phase portrait of the vehicle ensemble in the velocity-density plane. In particular, the regions of regular and stochastic dynamics are found and the presence of dynamical traps is demonstrated.

Suggested Citation

  • Ihor Lubashevsky & Cyril Garnisov & Reinhard Mahnke & Boris Lifshits & Mikhail Pechersky, 2007. "States of Traffic Flow in the Deep Lefortovo Tunnel (Moscow): Empirical Data," Springer Books, in: Andreas Schadschneider & Thorsten Pöschel & Reinhart Kühne & Michael Schreckenberg & Dietrich E. Wol (ed.), Traffic and Granular Flow’05, pages 717-723, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-47641-2_70
    DOI: 10.1007/978-3-540-47641-2_70
    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:978-3-540-47641-2_70. 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.