An Experience-Based Approach to Simulate Virtual Crowd Behaviors Under the Influence of Alcohol
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.
The project AutoScene is supported by Facin/PUCRS and Brazilian Research Agencies CAPES and FAPERGS.
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