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This paper attempts to design an intelligent simulation model for pedestriancrowd evacuation. For this purpose, the cellular automata(CA) was fullyintegrated with fuzzy logic, the kth nearest neighbors (KNN), and somestatistical equations. In this model, each pedestrian was assigned a specificspeed, according to his/her physical, biological and emotional features. Theemergency behavior and evacuation efficiency of each pedestrian were evaluatedby coupling his or her speed with various elements, such as environment,pedestrian distribution and familiarity with the exits. These elements all havegreat impacts on the evacuation process. Several experiments were carried outto verify the performance of the model in different emergency scenarios. Theresults show that the proposed model can predict the evacuation time andemergency behavior in various types of building interiors and pedestriandistributions. The research provides a good reference to the design of buildingevacuation systems.

A Simulation Model for Pedestrian Crowd Evacuation Based on Various AI Techniques