IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-33482-0_15.html
   My bibliography  Save this book chapter

Modelling Stride Length and Stepping Frequency

In: Traffic and Granular Flow '15

Author

Listed:
  • Isabella von Sivers

    (Munich University of Applied Sciences
    Technische Universität München)

  • Gerta Köster

    (Munich University of Applied Sciences)

  • Benedikt Kleinmeier

    (Munich University of Applied Sciences)

Abstract

A pedestrianVon Sivers, Isabella motionKöster, Gerta model must be calibratedKleinmeier, Benedikt to measured data and validated against observations to achieve predictive power for the simulations. The relationship between the speed of pedestrians and the density of a crowd or the flow through bottlenecks are widely accepted as important characteristics of pedestrian movement. They are often used for calibration and validation. Other crucial characteristics of pedestrian movement have been discussed in recent studies. Two of these are the correlations between stride length and speed as well as between stepping frequency and speed. We show that one can reproduce these dependencies as measured in the experiments with the Optimal Steps Model (OSM), which captures stepping behaviour of pedestrians.

Suggested Citation

  • Isabella von Sivers & Gerta Köster & Benedikt Kleinmeier, 2016. "Modelling Stride Length and Stepping Frequency," Springer Books, in: Victor L. Knoop & Winnie Daamen (ed.), Traffic and Granular Flow '15, pages 113-119, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-33482-0_15
    DOI: 10.1007/978-3-319-33482-0_15
    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_15. 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.