A Macroscopic Multiple Species Pedestrian Flow Model Based on Heuristics Implemented with Finite Volumes

Frank Huth (), Günter Bärwolff () and Hartmut Schwandt ()
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Frank Huth: Technische Universität Berlin, Institut für Mathematik
Günter Bärwolff: Technische Universität Berlin, Institut für Mathematik
Hartmut Schwandt: Technische Universität Berlin, Institut für Mathematik

A chapter in Pedestrian and Evacuation Dynamics 2012, 2014, pp 585-601 from Springer

Abstract: Abstract We present a macroscopic model for pedestrian movement and its implementation. The focus is on the simulation of multiple interacting pedestrian streams. The number of different species is potentially unrestricted. Tunability is provided by parameters common to all pedestrian species as well as species-specific parameters. The primary goal of our model is the description of pedestrian motion in non-panic circumstances but we expect that an extension to panic scenarios is feasible. The implementation uses a finite volume method in order to enforce mass conservation, and method-specific optimizations model certain aspects of pedestrian behavior. Furthermore, we apply a set of heuristics to obtain a particularly simple model. The intent to simulate human crowds in realistic environments implies the need to manage arbitrary domain and cell shapes. Development flexibility suggests to use open source code. These requirements, and its code maturity, made OpenFOAMⓇ our choice to base the implementation on.

Keywords: Macroscopic pedestrian model; Human crowd simulation; Intersecting pedestrian flows (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-319-02447-9_49

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