Crowd Behavior Simulation based on Psychological emotion, sociological role and personality

In order to realize the real navigation behavior of virtual human, a new method is proposed to integrate the psychological emotion, sociological role and personality characteristics of virtual human into the collision avoidance behavior, so as to generate diversified collision avoidance behavior according to different internal attributes of virtual human. Based on the principle of minimum cost, the influences of psychological emotion, sociological role and personality parameters on the parameters of predictive collision avoidance behavior are studied. Finally, the relationship between the fuzzy reasoning method and the predictive collision avoidance behavior parameters is established. The simulation results show that our approach is effective and feasible. Eventually realistic crowd phenomena are created in the scenarios in city environment.