Research On Congestion Index Of Urban Rail Transit

With the development of social economy and the concept of green and smart transportation,urban rail transit has gradually become the main mode of public transportation in big cities.However,urban rail transit is prone to congestion due to highdensity pedestrian flow and complex pedestrian movement patterns,which may even cause serious safety problems.In order to promote the healthy development of urban rail transit,it is necessary to establish an urban rail transit congestion degree judgment model,explore the congestion degree classification standards,and grasp the real-time congestion situation scientifically and reasonably.First,based on the analysis of the temporal and spatial characteristics of urban rail transit passenger flow,the definition,classification and influencing factors of congestion are clarified,and then the concept of urban rail transit congestion degree measurement standard-congestion index is proposed.Second,comprehensively considering the three key indicators of passenger flow congestion intensity,congestion duration,and passengers’ intuitive experience of congestion,a congestion index model for the urban rail transit station layer is established,and the index weight of the model is determined by entropy weight method,and then the congestion index models of line layer and line network layer are constructed in turn.Third,in order to give full play to the advantages of the congestion index classification algorithm,the ant colony clustering algorithm and the K-means clustering algorithm are combined,and the ACO-K-means second-order combined clustering algorithm is proposed to study the urban rail transit congestion index classification problem.Finally,taken Wuhan rail transit as the research object to conduct a case analysis,AFC system,field survey and questionnaire survey data are conducted to apply the congestion index model,and the VISUM modeling simulation are performed to compare and analyze the model results and expand the application.The results show that this research the proposed urban rail transit congestion index model and classification standards can accurately and effectively evaluate the degree of urban rail transit congestion.The congestion index model and grading standards of each layer of urban rail transit constructed in this study have high accuracy and good applicability,and can provide a certain scientific basis for urban rail transit management departments to grasp the congestion situation in real time and optimize the organization and operation.