Pedestrian Simulation Using Geometric Reasoning in Velocity Space

Sean Curtis () and Dinesh Manocha ()
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Sean Curtis: University of North Carolina at Chapel Hill
Dinesh Manocha: University of North Carolina at Chapel Hill

A chapter in Pedestrian and Evacuation Dynamics 2012, 2014, pp 875-890 from Springer

Abstract: Abstract We present a novel pedestrian representation based on a new model of pedestrian motion coupled with a geometric optimization method. The model of pedestrian motion seeks to capture the underlying physiological and psychological factors which give rise to the fundamental diagram—the phenomenon that pedestrian speed reduces as density increases. The optimization method computes collision-free velocities directly in velocity space. The resultant method exhibits the same types of self-organizing behaviors shown by previous models, is both computationally efficient and numerically stable, can be intuitively tuned to model cross-cultural variation, and is sufficiently robust that a single set of simulation parameters produces viable results in multiple scenarios.

Keywords: Pedestrian model; Geometric; Constraint-based optimization; Fundamental diagram; Density sensitivity (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_73

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DOI: 10.1007/978-3-319-02447-9_73

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