Research On Emergency Evacuation Guidance Of Urban Rail Transit Stations Based On Multi-agent

Urban Rail Transit is one of the most irreplaceable and popular public transportation in the modern city because of its fast speed,punctual schedule and comfortable experience.However,once fire,terrorist attacks and other emergencies occurred,it is not easy to evacuate the crowd to the safe place quickly and effectively.Thus the evacuation problem under emergencies which not only involved the interaction of the people and the environment but the people themselves is of vital important to the design of evacuation system and the organization of emergent evacuation.Analysis the characteristics of the crowd and the inside structure of the subway station based on the characteristics of rail traffic,and then built an emergent evacuation system model,made deep research on the setting up and efficiency of the guide and the signage.The main contents are as follows:(1)Built a crowd emergent evacuation behavior model based on fine mesh of cellular automata modeling approach and multi-agent theory which described the behavior of the pedestrians.This model improved cellular automata discrete microscopic modeling approach,input the width of exit,the attraction of different ways and the temperature field,and finally find the optimal way for the crowd.Through the characteristics of microscopic behavior and the interaction between the individual,this model aims to reflect the characteristics of population evacuation,to describe the interactive relationship between individuals and architecture,and also involving pedestrians' attraction,rejection and following function,with strong descriptive and extended capability(2)Developed based on field research with subway evacuee classification and passenger' s Psychological endurance value quantization to adjust the velocity based on pressure status.Guide's information transfer mode is presented using dynamic space diffusion mechanism.The emergency evacuation guide is set in the evacuation process for guidance control and the path decision-making model and speed expectation decision-making model is determined to discuss the density control and panic population control of guide in the evacuation process.Effective and accurate dissemination of evacuation information can significantly improve the efficiency of evacuation.The optimal value of guide is studied in the scenario of fixed evacuation scene,fixed number of evacuee,and fixed number of evacuation exits to provide theoretical basis for the decision-making of number of evacuation guide for emergency evacuation management.(3)Based on choices of information perception and psychological factors,the evacuation route optimization algorithm for intelligent evacuation instructions system is developed.The intelligence evacuation instruction signage location,direction and status,etc.,are optimized with consideration of basic principles of safety evacuation,building space structure,typical fire scenarios,the path length,exit width,density and distribution of evacuation in forecasting model.Including the control function of instruction signage into population crowd distribution prediction model made the crowd flow pattern,evacuation route optimization,and evacuation control decision are integrated into one model.(4)Considering the subway's operation characteristics,the establishment of an evacuation system will be analyzed.Field research stations in various facilities will be used to determine the effective width of traffic facilities equipment.The peak passenger flow and number of evacuees will be analyzed using the flow and structure of various regions.In-depth analysis of the current Songjiazhuang station emergency evacuation indicator system demonstrates existing problems and the potential safety hazard of the problems.The Beijing Songjiazhuang subway station three-dimensional simulation model is developed as a case study for optimizing the evacuation plan and analyzing and verifing the evacuation decision strategy with the characteristics of different lines,fire location,fire development,and distribution of passenger.It provides a scientific basis for effective prevention and dredge dense crowd stampede accident under emergency.