Research On Crowd Evacuation Optimization Model Based On Multi-agent Simulation

In recent years,the number of colleges and universities in China has increased significantly,academic exchanges and large-scale activities are frequent,which makes the probability of campus security incidents increase,and makes the work and study of teachers and students in schools have potential safety hazards.Using crowd evacuation simulation model to simulate the movement process of individual pedestrian in emergency evacuation can provide emergency plans for crowd evacuation in real scenes,so as to better deal with the occurrence of emergency events and further provide the basis and guarantee for campus safety.The main work of this thesis is as follows:1.In view of the influence of individual emotional changes on their next motion decisions in the scene,this thesis proposes an emotional infection model for crowd evacuation.Firstly,based on the original emotional infection rules,the SISa rules are refined to formulate the emotional infection rules for crowd evacuation.Secondly,according to the extended emotional infection rules and the infectious disease dynamics model,the emotional infection model for crowd evacuation is constructed.Then based on the complex network,the emotional infection process was simulated numerically and modelically,and the rationality and validity of the model were verified by comparing the experimental results.Finally,by analyzing the influence of relevant parameters on the emotional infection model,the changing process of individual pedestrian emotional state under the influence of emergencies is studied.2.For the motion management of pedestrian flow in evacuation facilities,this thesis proposes an optimized crowd evacuation simulation model.The model uses cellular automata model to divide the facility space,and gives full play to the characteristics of pedestrian heterogeneity of the agent model to construct the crowd evacuation model.The model is optimized from three aspects: exit selection,path planning and collision avoidance.Through the full interaction between pedestrian individuals and the surrounding environment information,the next motion decision is made independently.For the motion management of pedestrian flow in evacuation scenarios,this thesis proposes an optimized crowd evacuation simulation model.3.Due to the potential impact of emotional infection on the evacuation process,this thesis studies the motion decision of pedestrian individuals in the emergency evacuation process based on the change of emotional state of pedestrian individuals under sudden external stimuli.Firstly,according to the change of individual emotional state,the emotional value e is used as an indicator to quantify the impact of individual emotional changes on the movement process of pedestrians.Then,the emotional infection model and the crowd evacuation model are coupled to jointly determine the next motion decision of the individual pedestrian,and further study the motion state of the evacuation crowd when emergencies occur,making the simulation of crowd evacuation more realistic.