Scalable Evacuation Simulation and Visualization Using GPU Computing

Kensuke Yasufuku ()
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Kensuke Yasufuku: Osaka University, Cybermedia Center

A chapter in Pedestrian and Evacuation Dynamics 2012, 2014, pp 1365-1373 from Springer

Abstract: Abstract In this paper, we will describe our novel approach to real-time visualization of crowd flow using a scalable agent-based evacuation simulation that is suitable for execution on GPUs. To simulate the crowd behavior, we used the social force model in which each individual is represented by a self-driven particle subject to social and physical forces. The social force calculations were executed using CUDA technology, a parallel-processing architecture for many-core GPUs. As a result, the GPU version was shown to have better scalability than the CPU version. In a case study of an evacuation scenario of a large underground shopping mall, the GPU version is approximately seven times faster than the CPU version and was capable of sustaining an interactive frame rate when visualizing the evacuation.

Keywords: Evacuation simulation; GPU computing; Visualization (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_113

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DOI: 10.1007/978-3-319-02447-9_113

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