Study On Time-Varying Analysis Of Passenger Flow Characteristics Of Urban Rail Transit Network Driven By Multi-Source Data

Urban rail transit is widely used in large and medium-sized cities because it is safe,fast and convenient.With the increasing number of passengers who choose urban rail as their travel mode,problems in passenger flow will follow.If there is no reasonable control over passenger flow,it may affect passenger travel.Therefore,in order to formulate effective passenger flow control measures and better carry out the planning and design of urban rail transit in the construction stage,it is necessary to deeply analyze the historical passenger flow data to grasp the change law of passenger flow.Therefore,this paper analyzes and studies the time-varying characteristics of urban rail transit network passenger flow.Deeply excavate the historical passenger flow data,fits the network passenger flow function,master the distribution law of passenger flow data,and considers different influencing factors to determine the impact of various factors on the change of passenger flow.The specific contents are as follows:(1)Carry out time-varying analysis on the characteristics of network passenger flow.Firstly,the passenger flow time-varying function of the network in different time ranges is determined,and the variation law of the passenger flow of the network with time is analyzed.Fit the time-varying function of passenger flow of various indicators of the network in different time ranges and time granularity,and consider the trend,periodicity and periodicity of passenger flow change of the network.Secondly,analyze the distribution form of passenger flow in,out and transfer data in different time segments,and master the distribution law of passenger flow data.(2)Analyze the causes of changes in network passenger flow.Firstly,consider the influencing factors of passenger flow from the three dimensions of time,space and events.List the factors that may affect the passenger flow of the network,classify them,and divide them into fixed attribute factors that describe the attributes of the network itself and non fixed attribute factors that describe the attributes of the external environment.Then,according to different types of passenger flow change events of network,using the idea of Bayesian statistics to determined the impact factors that causing various types of changes in passenger flow and calculated the impact degree of each factor.(3)Taking a city in China as the research object,this paper makes a case analysis.Taking historical passenger flow data,weather data,holiday information,typical activity information,social security event information,new station or new line opening information and other multi-source data as input,this paper analyzes the time-varying characteristics of passenger flow in urban rail transit network in the city.Including the fitting of passenger flow function in each time range,determining the distribution form of passenger flow data in different periods,analyzing the causes of passenger flow change events,considering the influence factors and calculating the influence degree.So as to master the passenger flow characteristics of the city’s network.(4)According to the research content,the time-varying analysis system of passenger flow characteristics of urban rail transit network is designed,including function design,database design and interface design.The system includes four functions,daily fine analysis,special event fine analysis,passenger flow data in-depth analysis and data management.Each function is divided into several sub functions according to different contents.At the same time,the system database is designed for the input and output data,and the system interface is designed for the display content.There are 78 figures,17 tables and 52 references.