Comparison of Field-based Crowd Simulation Approach Based on Different Parallel Architectures

摘要

Crowd simulation has been very significant and widely applied in many fields of virtual reality. How to greatly increase the efficiency and realism becomes the focus of the research about crowd simulation. In this paper, a real-time crowd simulation system is designed on parallel architectures. The system is applied to simulating the evacuation of massive crowd in an Olympic venue and then experiments are done to compare and analyze their different simulation efficiencies on different architectures. The best simulation performance comes from the hybrid architecture in combination of CPU and GPU with parallel computing on multi-core CPUs and the it can reach 52 fps when the number of crowd is 10000. GPU architecture can be used in the crowd simulation system with few data transmission times between CPU and GPU, branch statements and texture look-ups better.