A Crowd Simulation Based UAV Control Architecture for Industrial Disaster Evacuation

In past decades, we have witnessed lots of gas leakage diasters all over the world, causing serious casualties, property damage and severe negative social impact. During evacuation after gas leakage incident, the poisonous gas shall be accurately detected. Accordingly, the evacuation routine shall be carefully planned and warned to the evacuating people. Unmanned aerial vehicle (UAV) has been widely regarded as a promising tool to support crowd evacuation. In this paper, aiming at providing an efficient UAV control system for crowd evacuation, we propose a crowd simulation based UAV control system to direct crowd evacuation from the polluted area. The architecture mainly consists of a UAV fleet management module, UAV trajectory planning module, and a crowd simulation module. The architecture forms a closed control loop, emphasizing the inter-operation between the real scenario and the simulation scenario. A case study on UAV gas leakage detection scheduling is given. The results show that the proposed architecture can provide efficient way to help pedestrian in the environment to evacuate and avoid to be infected by the toxic gas.