The Temporal And Spatial Distribution And Simulation Of Passenger Carrying Behavior At Traffic Security Checkpoints

With the continuous growth of urban passenger flow,the public transportation security inspection system is facing serious passenger bottlenecks.Since the outbreak of COVID-19,the security inspection system has also undertaken the task of epidemic prevention,which puts forward higher requirements for security inspection services.Large-scale and fast-moving passengers often carry handbags,backpacks,suitcases,etc.The behavior of these passengers called carrying behavior is the mainstream behavior of passengers in security check lanes.The temporal and spatial distribution of carrying behavior is an important factor that needs to be considered in the layout of security inspection facilities and the design of flow lines,and carrying behavioral patterns also seriously affect the service efficiency of security inspection system.To this end,by studying the security inspection process,the carrying behaviors of passengers are summarized and defined,and then the carrying behavioral patterns are coded and quantified to analyze the indicators of carrying behaviors.On the basis,this paper explores the temporal and spatial distribution of carrying behaviors,and builds a multi-objective optimization model of the security inspection system,which is verified by simulation.This effort can provide a theoretical basis for the design and management of the security inspection system.The specific research is as follows:First,observing the security inspection process,the carrying behaviors are summarized and defined,and the types of carrying behavioral patterns are analyzed;According to the coding rules,the carrying behavioral patterns are decomposed and coded,and the carrying behaviors are quantified;Analyzing the relevance of carrying behavioral patterns,the regression equation between the carrying behaviors and the influencing factors is built,and the internal connections between carrying behaviors and influencing factors are explored.Then,considering the random movement of passengers in the security inspection system,the detouring and waiting extraction mechanism of carrying behaviors is analyzed;In terms of time,the duration distribution of arrival,baggage putting,body checking,and baggage picking of passengers are explored.In terms of space,the spatial distribution of staying points of passengers in the extraction area and the buffer area of passenger flow is explored.Finally,on the basis of the duration distribution of carrying behaviors of passengers,a mean-variance model of carrying behaviors is built;According to the security inspection process,a service parameter optimization model for the security inspection system is established,and then a multi-objective optimization model of the security inspection system is formed;The parameters related to the simulation is set,and the process of the passenger behavior passing the security inspection system is analyzed,and a simulation model of carrying behaviors is built naturally;A simulation experiment is set up based on the time of passenger passing the security inspection system and the peak group density to verify the reliability of the multi-objective optimization model.This research has focused on describing the mechanism of carrying behaviors of passengers in the security inspection system,on which basis a multi-objective optimization model has been built.These efforts can provide a scientific basis for improving the service efficiency of the security inspection system,and can also provide theoretical support for the design and operation management of the public transportation security inspection system,and has strong application and promotion value.