Multi-Agent based Simulation Modelling for Passenger Flow Emergency Evacuation in Scenic Spots

摘要

It is an important issue in the management of scenic passengers to regulate passenger flow during peak hours, especially in emergency situations. Based on passenger flow, routing environment and control measures of a given scenic spot, we built a multi-agent model of the scenic spot. It is a simulation system that mainly consists of two multi-agent methods, i.e., the cellular automata model and ripple-spreading algorithm, and reflects the emergency evacuation of passenger flow in the scenic spot under emergent events. This paper uses a famous Chinese scenic spot, the Summer Palace in Beijing as a research case, and conducts an empirical research. The result shows that the reported simulation system can help to effectively assess the evacuation effect of purpose-designed regulation measures according to passenger distribution and road network characteristics. Thus, this simulation system can provide effective decision-making support to scenic spot managers.