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Specification Of The Social Force Pedestrian Model By Evolutionary Adjustment To Video Tracking Data

Author

Listed:
  • ANDERS JOHANSSON

    (Institute for Transport & Economics, Dresden University of Technology, Andreas-Schubert-Str. 23, 01062 Dresden, Germany)

  • DIRK HELBING

    (Institute for Transport & Economics, Dresden University of Technology, Andreas-Schubert-Str. 23, 01062 Dresden, Germany;
    Collegium Budapest — Institute for Advanced Study, Szentháromság u. 2, 1014 Budapest, Hungary)

  • PRADYUMN K. SHUKLA

    (Institute for Transport & Economics, Dresden University of Technology, Andreas-Schubert-Str. 23, 01062 Dresden, Germany;
    Institute of Numerical Mathematics, Department of Mathematics, Dresden University of Technology, 01062 Dresden, Germany)

Abstract

Based on suitable video recordings of interactive pedestrian motion and improved tracking software, we apply an evolutionary optimization algorithm to determine optimal parameter specifications for the social force model. The calibrated model is then used for large-scale pedestrian simulations of evacuation scenarios, pilgrimage, and urban environments.

Suggested Citation

  • Anders Johansson & Dirk Helbing & Pradyumn K. Shukla, 2007. "Specification Of The Social Force Pedestrian Model By Evolutionary Adjustment To Video Tracking Data," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(supp0), pages 271-288.
    • Handle: RePEc:wsi:acsxxx:v:10:y:2007:i:supp0:n:s0219525907001355
    DOI: 10.1142/S0219525907001355
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