GPGPU Computing for Microscopic Simulations of Crowd Dynamics

Authors

  • Jarosław Wąs AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, 30-059 Kraków
  • Hubert Mróz AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, 30-059 Kraków
  • Paweł Topa AGH University of Science and Technology, Faculty of Computer Science, Electronics and Telecommunications, 30-059 Kraków & Institute of Geological Sciences, Biogeosystem Modelling Laboratory, Polish Academy of Sciences, 31-002 Kraków

Keywords:

Crowd simulation, social force, social distances, cellular automata, using GPU in simulation

Abstract

We compare GPGPU implementations of two popular models of crowd dynamics. Specifically, we consider a continuous social force model, based on differential equations (molecular dynamics) and a discrete social distances model based on non-homogeneous cellular automata. For comparative purposes both models have been implemented in two versions: on the one hand using GPGPU technology, on the other hand using CPU only. We compare some significant characteristics of each model, for example: performance, memory consumption and issues of visualization. We also propose and test some possibilities for tuning the proposed algorithms for efficient GPU computations.

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Published

2016-03-02

How to Cite

Wąs, J., Mróz, H., & Topa, P. (2016). GPGPU Computing for Microscopic Simulations of Crowd Dynamics. Computing and Informatics, 34(6), 1418–1434. Retrieved from http://147.213.75.17/ojs/index.php/cai/article/view/2287

Issue

Vol. 34 No. 6 (2015): Computing and Informatics

Section

Articles