Method of crowd simulation by using multiagent on cellular automata

This paper presents a new simulation method of crowd behavior, method that uses a two- layer model that consists of multiagent (MA) framework and cellular automata (CA). The features of this method are as follows. (1) Complicated crowd behavior emerges from the autonomous actions of agents. (2) Separating an autonomous action process from a restriction of physical interferences. Using a simulation system implementing the two-layer model, crowd behavior simulations are realized. In particular, collision cases of counter crowds are analyzed in detail, and interesting results are found. (1) Homogeneous agent crowd tends to make whirlpools, waves, and blanks, and to be slow at the walking. (2) Heterogeneous agent crowd formed lines, then flows efficiently. Experimental results show that combining MA and CA is effective to easy realize the complicated crowd behavior on various environments.