Using a Multi-Scale Model for Simulating Pedestrian Behavior

Angelika Kneidl (), Dirk Hartmann () and André Borrmann ()
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Angelika Kneidl: Technische Universität München
Dirk Hartmann: Siemens AG, Corporate Technology
André Borrmann: Technische Universität München

A chapter in Pedestrian and Evacuation Dynamics 2012, 2014, pp 1029-1038 from Springer

Abstract: 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.

Keywords: Wayfinding; Navigation; Dynamic navigation fields; Dynamic floor fields; Cellular automata; Visibility graphs; Locomotion; Route choice; Multi-scale model; Microscopic pedestrian simulation (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-02447-9_85

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DOI: 10.1007/978-3-319-02447-9_85

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