A Dynamic Intelligent Cellular Automaton Model for Evacuation Process with Obstacles and in Regard to Population Density

In the present paper, we propose a dynamic cellular automaton (CA) model to simulate the evacuation process in a room with obstacles. To make this simulation more realistic, our strategy for updating the situation of each pedestrian in every step is not only based on the pedestrian interactions, placement of the doors and position of the obstacles, but also on the distribution of the crowd and field of Vision. In this approach each cell depending on the positions of the doors and obstacles has a static weight and depending on the pedestrians distribution has a dynamic weight. In order to describe our algorithm , simulation of the evacuation process of a theatre room and also a classroom are presented, then optimal pedestrians positions, field of vision and virtual exits width are discussed and these numerical results are compared with those obtained.