Different models and tools are available in order to simulate homogeneous crowds taking into account different parameters. In this paper we present a framework to simulate heterogeneous crowds where we emphasize how the presence of alcohol into the simulated agents can make influence on the crowd behavior. Despite the obvious difficulty to evaluate results, this paper proposes a metric to compare the alcohol impact in crowd simulations and also taking as reference a real life scenario.
CITATION STYLE
Cassol, V. J., Bianco, C. M. D., Carvalho, A., Brasil, J., Monteiro, M., & Musse, S. R. (2015). An experience-based approach to simulate virtual crowd behaviors under the influence of alcohol. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9238, pp. 124–127). Springer Verlag. https://doi.org/10.1007/978-3-319-21996-7_13
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