Improvement Dynamic Continuum Model for Pedestrian Flow

Simulating the motion of realistic, large, dense crowds of pedestrian is still a challenge for computer graphics communities. The previous main methods based individual research, in which each individual have alone plans for itself and hence. The large groups´ simulation is difficult because exhibit behavior of enormous complexity and subtlety. In this paper, we improve dynamic continuum theory for group motions simulation in real-time virtual environment, which it based on hierarchical dynamic potential field simultaneously integrates global navigation with moving obstacles such as movie objects, pedestrians. Meanwhile, to avoid local collision, a method that based on individual´s variable bounding box and its previous position elimination is proposed in this paper. Experiments results show improvement model can demonstrate smooth flow under a variety of conditions, and naturally exhibit emergent phenomena that have been observed in real crowds.