Simulation And Optimization Of Crowd Movement Behavior Based On REPASTSIMPHONY Platform

In recent years,China's metro city has become an indispensable means of transport in daily life,it greatly facilitates people's travel convenience,but also ease the pressure on the ground road traffic.But the increase in the number of subway ride is much higher than the current carrying capacity of the new subway,which led to crowded traffic crowd.With the continuous development of computer technology,the computer technology can be used to simulate the behavior of the crowd in order to find a practical and feasible method..In this paper,when the computer is used for simulation,the subway model and the queuing model are firstly represented by the object oriented idea,and then the advantages and disadvantages of various modeling methods and routing strategies are analyzed.Finally,based on the Agent model modeling method and the particle swarm optimization algorithm,this paper establishes the simulation model of the movement behavior of the subway passenger population by using the Repast Simphony simulation platform for the movement and queuing behavior of the subway passenger population.The model simulates that the passengers enter the metro waiting hall to find the subway car door to queue up and the subway station when the passengers in the queue into the subwaay car.and proposed a Markov decision model based on the improved routing algorithm to optimize the Agent action strategy,experiment It shows that the algorithm can effectively solve the shortcomings of the traditional particle swarm algorithm which is easy to fall into the local solution,and obviously reduce the number of collisions.In addition,this paper proposes to increase the number of passenger compartment by increasing the indicator of the subway car in order to relieve the congestion of the local carriage.Experiments and data analysis show that the model can not only simulate reality with less cost,but also find out the best solution to save manpower and material resources,and reduce the average time of passengers entering the carriage and improve the satisfaction rate of passengers.The experimental results also show that the improved method proposed in this paper is effective and can improve the efficiency of passengers entering the carriage by 9%.