  This paper attempts to design an intelligent simulation model for pedestrian
crowd evacuation. For this purpose, the cellular automata(CA) was fully
integrated with fuzzy logic, the kth nearest neighbors (KNN), and some
statistical equations. In this model, each pedestrian was assigned a specific
speed, according to his/her physical, biological and emotional features. The
emergency behavior and evacuation efficiency of each pedestrian were evaluated
by coupling his or her speed with various elements, such as environment,
pedestrian distribution and familiarity with the exits. These elements all have
great impacts on the evacuation process. Several experiments were carried out
to verify the performance of the model in different emergency scenarios. The
results show that the proposed model can predict the evacuation time and
emergency behavior in various types of building interiors and pedestrian
distributions. The research provides a good reference to the design of building
evacuation systems.
