Method Of Collaborative Peak Hour Flow Control In Multiple Stations Of Urban Rail Network Considering Node Importance

With the rapid growth of urban population and the development of economy and society,the demand of urban rail transit is also increasing.The time-space imbalance of passenger flow distribution leads to the raise of regional passenger flow in peak hours.The formation of peak passenger flow is related to urban planning,construction and the innate character of urban rail transit network,which is difficult to eliminate fundamentally.Therefore,the research on passenger flow control of peak passenger flow is great significant.Firstly,analysis of urban rail network structure and modeling method is presented in this paper.Statistical characteristics and spatial-temporal distribution of passenger flow was summarized from passenger flow data.And appropriate generalized cost function was selected and used in calculating of passenger flow distribution,which finally proclaim charateristics of congested passenger flow.Secondly,in order to ensure the passenger transport of key nodes,node degree,impact intensity coefficient,station equipment capacity,surrounding resources,regional GDP and time distribution type of passenger flow are selected based on the passenger flow data of urban rail network to characterize the node importance.The importance of urban rail network nodes is calculated by using TOPSIS and the cluster analysis method respectively,the final result is the combination of two methods.Thirdly,congestion indicators are selected from station and section levels to identify station level congestion and line-network level congestion,and congestion of transfer section is used as a sign to distinguish line and network level congestion.Till now the hierarchical congestion identification method is established and multi-station collaborative flow control scheme considering node importance will be developed in line and network level respectively.For line level congestion,the feedback iteration method is used to solve the flow control scheme.Because of the limitation of the flow control objectives in the line level flow control scheme,the feedback iteration method is optimized and the impact on the passenger flow of irrelevant stations is reduced.For the network level congestion,the integer programming equation is used to solve the collaborative flow control scheme.The objective of the equation is to minimize the total flow control during peak hours.On the basis of limiting the flow control of key nodes,the key node coefficient in the objective function is modified to ensure the priority of large passenger flow transportation at key nodes.Finally,this paper takes the morning peak passenger flow of Chengdu urban rail network as an example to empirical research.The multi station collaborative flow control scheme formulation algorithm considering node importance proposed in this paper can effectively guarantee the transportation of passenger flow at key nodes.At the same time,compared with the flow control scheme which does not consider the priority of key nodes passenger flow,there is no significant difference in the total flow control,flow control points,average flow control and other flow control indicators but flow control in key nodes is reduce 36.58%.