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Research On Emergency Evacuation Path Planning Of Urban Rail Transit Based On Hybrid Algorithm

Posted on:2023-07-07Degree:MasterType:Thesis
Country:ChinaCandidate:Q BuFull Text:PDF
GTID:2531306821951729Subject:Transportation planning and management
Abstract/Summary:PDF Full Text Request
With the acceleration of urbanization and the continuous improvement of infrastructure,urban rail transit has become the preferred mode of travel for residents.Due to its publicity and density,once an emergency occurs,it will pose a serious threat to people’s property and even life.Reasonable paths are very important to shorten the evacuation time.Therefore,it is of theoretical and practical significance to study the path planning method for emergency evacuation in urban rail transit.The paper first analyzes the research status of domestic and foreign experts and scholars in personnel safety evacuation,subway emergency evacuation,and ant colony algorithm,summarizes the classification and characteristics of urban rail transit emergencies,summarizes urban rail transit emergency evacuation requirements,and analyzes the principles and principles of passenger flow evacuation.The phenomenon of emergency evacuation of passengers;by comparing ant colony algorithm with other intelligent algorithms,the feasibility of selecting ant colony algorithm for group evacuation simulation is clarified,and the selection range of ant colony algorithm parameters is studied.Secondly,according to the behavior characteristics of emergency evacuation passengers,on the basis of analyzing the mechanism of mass panic psychology,the influencing factors of panic psychology were analyzed,a group evacuation model based on panic factors was constructed,and the initial pheromone was improved by A*algorithm,the psychological panic model is introduced into the state transition probability function of the traditional ant colony algorithm,the update rules of pheromone are improved,and the obtained path is smoothed.By comparing the simulation results,the applicability and superiority of the hybrid algorithm are verified.Finally,taking the Shijiazhuang Metro Xinbai Square Station as the research object,the passenger flow of the station during holidays and peak hours on working days was investigated,and the key positions of passenger flow evacuation were determined.Carry out emergency evacuation path planning,solve the optimal evacuation path under emergencies layer by layer,and provide passenger flow evacuation measures under emergencies.
Keywords/Search Tags:urban rail transit, emergency evacuation, path planning, group panic, ant colony algorithm
PDF Full Text Request
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