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Using a Multi-Scale Model for Simulating Pedestrian Behavior

In: Pedestrian and Evacuation Dynamics 2012

Author

Listed:
  • Angelika Kneidl

    (Technische Universität München)

  • Dirk Hartmann

    (Siemens AG, Corporate Technology)

  • André Borrmann

    (Technische Universität München)

Abstract

In order to model realistic pedestrian crowds, different aspects on different scales have to be taken into account. Besides behavioral aspects, locomotion on short-scale and human navigation on large-scale have to modeled appropriately. In the simulation models existing to date, these two aspects are modeled separately. To overcome the limitations of currently available models, this paper presents a new hybrid multi-scale model, which closely links information between the short-scale and the large-scale layer to improve the navigational behavior. In the presented hybrid navigation model, graph-based methods using visibility graphs are used to model large-scale way-finding decisions. The pedestrians’ movements between two nodes of the navigation graph (the short-scale) are modeled by means of a dynamic navigation floor field. The floor field is updated dynamically during the runtime of the simulation, explicitly considering other pedestrians for determining the fastest path.

Suggested Citation

  • Angelika Kneidl & Dirk Hartmann & André Borrmann, 2014. "Using a Multi-Scale Model for Simulating Pedestrian Behavior," Springer Books, in: Ulrich Weidmann & Uwe Kirsch & Michael Schreckenberg (ed.), Pedestrian and Evacuation Dynamics 2012, edition 127, pages 1029-1038, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-02447-9_85
    DOI: 10.1007/978-3-319-02447-9_85
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