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Scalable Evacuation Simulation and Visualization Using GPU Computing

In: Pedestrian and Evacuation Dynamics 2012

Author

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  • Kensuke Yasufuku

    (Osaka University, Cybermedia Center)

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.

Suggested Citation

  • Kensuke Yasufuku, 2014. "Scalable Evacuation Simulation and Visualization Using GPU Computing," Springer Books, in: Ulrich Weidmann & Uwe Kirsch & Michael Schreckenberg (ed.), Pedestrian and Evacuation Dynamics 2012, edition 127, pages 1365-1373, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-02447-9_113
    DOI: 10.1007/978-3-319-02447-9_113
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