Scalable distributed simulation of large dense crowds using the real-time framework (RTF)

摘要: The simulation of large groups (crowds) individuals is a complex and challenging task. It requires creating an adequate model that takes into account psychological features individuals, as well developing implementing efficient computation communication strategies in order to manage the immense computational workload implied by numerous interactions within crowd. This paper develops novel for realistic, real-time dense crowds, focusing on evacuation scenarios modeling panic situations. Our approach ensures both global navigation local motion are modeled close reality, user can flexibly change environment parameters at runtime. Because high intensity model, we implement distributed manner multiple server machines, using RTF (Real-Time Framework) middleware. We state replication alternative traditional distribution via zoning. show enables high-level development simulations, supports runtime execution servers.