IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-04504-2_6.html
   My bibliography  Save this book chapter

Using Laser Scanner Data to Calibrate Certain Aspects of Microscopic Pedestrian Motion Models

In: Pedestrian and Evacuation Dynamics 2008

Author

Listed:
  • Dietmar Bauer

    (arsenal research)

  • Kay Kitazawa

    (UCL, CASA)

Abstract

Summary In this paper an automatic procedure to obtain trajectory data sets for controlled walking experiments based on laser scanner measurements is investigated. The laser range scanners provide raw data consisting of snapshots of scattered points with a frequency of 10 Hertz. A tracking algorithm is applied in order to convert the laser scanner measurements into trajectory data sets. Suitability of the method is demonstrated via the application to walking experiments performed in the London based walking laboratory PAMELA. Beside evaluating the accuracy of the obtained trajectory data the experiments are also used in order to enable data driven modelling of stopping and turning movements within the social force model paradigm. It is shown that via the modelling of a ‘desired velocity’ term inside the models the observed behavior can be modelled with reasonable accuracy.

Suggested Citation

  • Dietmar Bauer & Kay Kitazawa, 2010. "Using Laser Scanner Data to Calibrate Certain Aspects of Microscopic Pedestrian Motion Models," Springer Books, in: Wolfram W. F. Klingsch & Christian Rogsch & Andreas Schadschneider & Michael Schreckenberg (ed.), Pedestrian and Evacuation Dynamics 2008, pages 83-94, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-04504-2_6
    DOI: 10.1007/978-3-642-04504-2_6
    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:978-3-642-04504-2_6. 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.