Distributed Simulation of Dense Crowds

摘要

By extending previous approaches, we develop an agent-based model for the simulation of large, dense groups (crowds) of individuals. The model reflects behavioral complexity by assigning psychological and physiological attributes to the agents. In order to cope with the computational complexity, we design and implement a distributed, multi-server simulation framework in which the user can flexibly change both the simulation environment and parameters at runtime. We implement the simulation system using our Real-Time Framework (RTF) and demonstrate its scalability and speedup over multiple servers.