Microscopic Behavior Analysis And Modeling Of Passenger In Urban Rail Transit Station

Urban rail transit has attracted more and more passengers' attention due to its own advantages,but the rapid growth of passenger flow has exerted great pressure on normal operations of urban rail transit stations and trains,especially under the condition of large passenger flow.Urban rail transit stations usually take passenger flow control measures to manage passenger flows,thus ensuring transportation safety and service quality.With regard to the complex environment of urban rail transit stations,operations management,such as deeply analyzing passenger microscopic behavior,mastering the movement rules of passenger in the facilities,and adopting active and effective passenger flow control measures under the condition of large passenger flows,have become the most important issues during the rapid development process of urban rail transit.In this dissertation,based on the analysis of passenger.microscopic behaviors and mustering and evacuation process,we deeply research the problems of passenger walking behavior modeling and simulation,node selection behavior modeling and simulation,queuing behavior modeling and simulation.Based on the above modeling of passenger microscopic behavior,we further analyze and evaluate the control strategies of the facilities in the stations under the condition of large passenger flow.The main work of the dissertation is as follows:(1)Analysis of passenger microscopic behaviors and mustering and evacuation process.This thesis summarizes the passenger flow of urban rail transit and analyzes the characteristics of passenger flow.Main facilities in the stations are explained.Passenger microscopic behaviors are described and the walking behavior,node selection behavior,queuing behavior are analyzed,then the characteristics of passenger microscopic behaviors are analyzed.The influencing factors of passenger microscopic behaviors are introduced from two aspects:the environmental factor and passenger factor.Based on the above research,the passenger mustering and evacuation process in the stations is analyzed and described.(2)Modeling and simulation of passenger walking behavior.The basic walking behavior,following behavior,overtaking behavior and avoiding behavior are described using the social force model.On this basis,the walking behavior model is established.We research and propose solutions of the problems desired target point selection,the force between two passengers,the distance from the passenger to the obstacle,the judgment of the stopping and waiting scheme,and the simulation flowchart of the social force model.The walking behavior model is simulated and verified by two scenarios of the channel and the evacuation.(3)Modeling and simulation of passenger node selection behavior.We elaborate on the decision theory and first propose the node selection behavior model using the dual system theory.The selected node finally is determined through the following three processes:the judgment by single reason decision,the calculation of analysis system considering the distance from a passenger to the node and the node efficiency,and the test of the sunk cost effect.Node selection behavior simulation is researched and verified by the virtual scene.Taking the passenger's node selection behavior of the AFG as an example,the model is simulated and verified the validity.(4)Modeling and simulation of passenger queuing behavior.Through the analysis of passenger queuing behaviors,queuing processes are divided into the following two stages:walking and selecting a queue,and entering a queue and waiting in the queue.This thesis proposes the concept of queuing line to represent the boundary of these two stages.The queuing line dynamically changes with factors such as pedestrian preference,queue shape and queue length.On this basis,the passenger queuing behavior model is constructed by considering that passengers move based on walking behavior model and node selection behavior model before entering the queuing line,and move based on the queuing rule after entering the queuing line.Taking passenger going through the service desk as an example,the simulation process of passenger queuing behavior is drawn and verified by the virtual scene.Passenger microscopic behavior at security check is deeply analyzed.For a single security check machine,this thesis selects security time of service check as the research index,and selects six passenger factors and five environmental factors to analyze the security service time and its influencing factors;for multiple security check machines,passengers selection results of the security check machines are elaborated.The queuing behavior model is simulated and verified its validity by the real scenes of ticket office and security check.(5)Research on facility control strategy based on passenger microscopic behavior model.The concepts of passenger flow organization and passenger flow control are introduced.We generate seven types of strategies for passenger flow control,i.e.,adjusting the spatial layout,controlling the number of facilities,controlling the speed of the facility,controlling the width of the facility,increasing walking distance,reducing the amount of inbound passenger and going through in batch.The passenger flow control strategies of three common facilities of AFG,security check and entrance are analyzed and evaluated.The construction method of multi-agent simulation model and system are studied from the abstraction of simulation environment,construction method of passenger agent,and introduction of simulation system.Taking the Beijing Zoo subway station as an example,we conduct case analysis,then simulate and evaluate the control strategies of the facilities.