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Crowd Analysis and Optimization

In order to rigorously evaluate and compare crowd models, we have developed tools for quantifying the coverage, quality, and failure of crowd simulators, and its ability to emulate real crowd data. Furthermore, we have developed a framework for automatically optimizing the parameters of a crowd simulation algorithm to meet any user-defined criteria. Our tools can be used to predictively evaluate the optimal crowd behavior in evacuations, and other stressful situations.