BioClouds: A Multi-level Model to Simulate and Visualize Large Crowds
This paper presents a multi-level approach to simulate large crowds  called BioClouds. The goal of this work is to model larger groups of agents by simulating aggregation of agents as singular units. This approach combines microscopic and macroscopic simulation strategies, where each group of agents (called cloud) keeps the global characteristics of the crowd unity without simulating individuals. In addition to macroscopic strategy, BioClouds allows to alter from global to local behavior (individuals), providing more accurate simulation in terms of agents velocities and densities. We also propose a new model of visualization focused on larger simulated crowds but keeping the possibility of “zooming” individuals and see their behaviors. Results indicate that BioClouds presents coherent behaviors when compared to what is expected in global and individual levels. In addition, BioClouds provides an important speed up in processing time when compared to microcospic crowd simulators present in literature, being able to achieve until one million agents, organized in 2000 clouds and simulated at 86.85 ms per frame.
KeywordsCrowd simulation BioCrowds Collision avoidance Macroscopic simulation Microscopic simulation Crowd visualization
- 2.Best, A., Narang, S., Curtis, S., Manocha, D.: Densesense: interactive crowd simulation using density-dependent filters. In: Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 97–102. Eurographics Association (2014)Google Scholar
- 3.Helbing, D.: A fluid dynamic model for the movement of pedestrians, vol. 6, June 1998Google Scholar
- 5.Knob, P., Balotin, M., Musse, S.R.: Simulating crowds with ocean personality traits. In: Proceedings of the 18th International Conference on Intelligent Virtual Agents, pp. 233–238. ACM (2018)Google Scholar
- 9.Pelechano, N., Allbeck, J.M., Badler, N.I.: Controlling individual agents in high-density crowd simulation. In: Proceedings of the 2007 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, SCA 2007, pp. 99–108, Aire-la-Ville, Switzerland. Eurographics Association (2007). http://dl.acm.org/citation.cfm?id=1272690.1272705
- 15.Van Den Berg, J., Guy, S.J., Lin, M., Manocha, D.: Reciprocal n-body collision avoidance. In: Pradalier, C., Siegwart, R., Hirzinger, G. (eds.) Robotics Research. Springer Tracts in Advanced Robotics, vol. 70, pp. 3–19. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-19457-3_1CrossRefGoogle Scholar