Research On Emergency Evacuation Support System For Urban Rail Transport

At present, more and more research institutions and universities pay attention to emergency evacuation, it has become a hot topic in academic field. The process of human evacuation poses a threat to the public safety. If accidents occur in the evacuation crowd, it is very likely to hinder the process of evacuation, or even cause injury or death. So, works must be done to study the evacuation supported system.First of all, this paper simply introduce the history of evacuation simulation, contrast the major domestic and international population evacuated model, analyze the advantages and disadvantages of various models and the scope of application. Based on this, evacuation simulation model of the selection rules are discussed.Then, the thesis analyze two dominant crowd evacuation models, which are the ones based on cellular automata (CA) and lattice gas automata (LGA). Based on this, this paper analyze the choice and achieve of evacuation simulation framework.Finally, the framework of supported system is divided into three parts: Inputs, Outputs and Processor. Inputs include spatial information, disaster information and pedestrians information; Outputs add pedestrian sub-module which could guide pedestrians to leave hazardous area; Processor is core, which could calculate the optimal evacuation program.According to the framework of urban rail supported system, this simulation is divided into in the interval evacuated and in the station evacuated. And the models use different algorithm. In the interval evacuated we use Dijkstra algorithm to solve the shortest circuit; In the station evacuated we use random service system theory to solve the staff queuing algorithm problem in grid simulation.