IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-33482-0_29.html
   My bibliography  Save this book chapter

Collision-Free Speed Model for Pedestrian Dynamics

In: Traffic and Granular Flow '15

Author

Listed:
  • Antoine Tordeux

    (Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH
    Bergische Universität Wuppertal, Computer Simulation for Fire Safety and Pedestrian Traffic)

  • Mohcine Chraibi

    (Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH)

  • Armin Seyfried

    (Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH
    Bergische Universität Wuppertal, Computer Simulation for Fire Safety and Pedestrian Traffic)

Abstract

We propose in this paper a minimal speed-based pedestrian model for which particle dynamics are intrinsically collision-free. The speed model is an optimal velocity function depending on the agent length (i.e. particle diameter), maximum speed and time gap parameters. The direction model is a weighted sum of exponential repulsion from the neighbours, calibrated by the repulsion rate and distance. The model’s main features like the reproduction of empirical phenomena are analysed by simulation. We point out that phenomena of self-organisation observable in force-based models and field studies can be reproduced by the collision-free model with low computational effort.

Suggested Citation

  • Antoine Tordeux & Mohcine Chraibi & Armin Seyfried, 2016. "Collision-Free Speed Model for Pedestrian Dynamics," Springer Books, in: Victor L. Knoop & Winnie Daamen (ed.), Traffic and Granular Flow '15, pages 225-232, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-33482-0_29
    DOI: 10.1007/978-3-319-33482-0_29
    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_29. 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.