IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-33482-0_22.html
   My bibliography  Save this book chapter

A Force-Based Model to Reproduce Stop-and-Go Waves in Pedestrian Dynamics

In: Traffic and Granular Flow '15

Author

Listed:
  • Mohcine Chraibi

    (Forschungszentrum Jülich GmbH, Jülich Supercomputing Centre)

  • Antoine Tordeux

    (Forschungszentrum Jülich GmbH, Jülich Supercomputing Centre)

  • Andreas Schadschneider

    (Institute for Theoretical Physics, Universität zu Köln)

Abstract

Stop-and-go wavesChraibi, Mohcine in single-fileTordeux, Antoine movementSchadschneider, Andreas are a phenomenon that is observed empirically in pedestrian dynamics. It manifests itself by the co-existence of two phases: moving and stopping pedestrians. We show analytically based on a simplified one-dimensional scenario that under some conditions the system can have unstable homogeneous solutions. Hence, oscillations in the trajectories and instabilities emerge during simulations. To our knowledge there exists no force-based model which is collision- and oscillation-free and meanwhile can reproduce phase separation. We develop a new force-based model for pedestrian dynamics able to reproduce qualitatively the phenomenon of phase separation. We investigate analytically the stability condition of the model and define regimes of parameter values where phase separation can be observed. We show by means of simulations that the predefined conditions lead in fact to the expected behaviour and validate our model with respect to empirical findings.

Suggested Citation

  • Mohcine Chraibi & Antoine Tordeux & Andreas Schadschneider, 2016. "A Force-Based Model to Reproduce Stop-and-Go Waves in Pedestrian Dynamics," Springer Books, in: Victor L. Knoop & Winnie Daamen (ed.), Traffic and Granular Flow '15, pages 169-175, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-33482-0_22
    DOI: 10.1007/978-3-319-33482-0_22
    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:978-3-319-33482-0_22. 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.