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Hybrid crowd behavior model

This article discusses a new hybrid crowd behavior model, based on an approach of using multiple scalar fields and statistical data of real crowds to match model behavior with the behavior of real crowds. This word extends a Continuum crowd model with the ability to bypass local minimums. This model also supports heterogenous crowds. Accuracy of the model was tested on a set of statistical data collected from real crowds in a different situations. As a result, suggested hybrid crowd behavior model has smaller modeling error than continuum crowd and Reynolds models.