A Decision Support System for Crowd Control
نویسندگان
چکیده
In this paper we describe the development of a decision support system for crowd control. Decision support is provided by suggesting a control strategy needed to control a specific current riot situation. Such control strategies consist of deployment of several police barriers with specific barrier positions and barrier strengths needed to control the riot. The control strategies are derived for a set of pre-stored example situations by using genetic algorithms where successive trial strategies are evaluated using stochastic agent-based simulation. The optimal control strategy for the current situation is constructed by first finding the best linear combination of pre-stored example situations. The optimal strategy is given as the same linear combination of associated strategies.
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