Pedestrian Evacuation with the Obstacles Based on Cellular Automata

Simulation of pedestrian evacuation in a room with fixed obstacles is presented based on cellular automata (CA) in this paper. Pedestrian moving rules are established, according to two-dimensional cellular automaton Moore neighborhood. The dynamic parameters: Direction-parameter, Empty-parameter and Cognition-parameter are formulated to simplify tactically the decision-making process of pedestrians, which can reflect the pedestrian judgment on the surrounding conditions and decide the pedestrian´s choice of action. We propose the improved Dijkstra metric to compute the values of static floor field for evacuation system with obstacles based on the Euclidean distance. In order to show the advanced nature of our model, the simulation results of the improved and previous model are compared and analyzed. The simulation results correspond with the actual, it is instructional significant for pedestrian evacuation.