Research On The Congestion Propagation Characteristics And Coordinated Current Limitation Of Peak Passenger Flow In Urban Rail Transit Network

With the rapid development of the domestic urban rail transportation industry,major cities have increased their investment in the rail transportation industry,and all have initially formed a rail transportation network operation mode,which is likely to cause road network passenger flow demand and service capacity under the condition of network formation.The problem of mismatch.Among them,peak passenger flow congestion is one of the main characteristics of the contradiction between the supply and demand of the road network.Peak passenger flow congestion will not only reduce the passenger transport service level,but may even cause passenger flow safety problems and cause the rail transit system to be paralyzed.Therefore,the research on the causes of road network passenger flow congestion,the process of road network passenger flow congestion and the co-current limiting scheme of road network passenger flow congestion are the key links to solve the problem of urban rail transit passenger flow congestion.The specific research contents of this article are as follows:Firstly,the definition and classification of the peak passenger flow congestion and congestion propagation of the road network are given.It is found that the congestion and congestion propagation of the road network passenger flow is essentially that the service capacity of the road network cannot meet the needs of passenger flow.Therefore,based on the historical passenger flow data of Chongqing Rail Transit,on the one hand,it analyzes and summarizes the number of passengers on the road network,the distribution of passenger flow time and the spatial distribution of passenger flow from the line network layer,line layer and station layer,on the other hand,from the remaining service capacity of trains and stations Facility equipment service capability analysis.Road network service capability.By analyzing the operating characteristics of the peak passenger flow of the road network,it lays a theoretical foundation for the establishment of the SIR-CA model for the peak passenger flow congestion of the road network and the collaborative current limiting model of the peak passenger flow congestion of the road network.Secondly,on the basis of a complex network,the peak congestion propagation characteristics of the road network are analyzed.The urban rail transit road network is a complex network,and the road network should be topologically expressed to prove that it has scale-free characteristics.Based on this,a simulation system for peak passenger flow propagation in the road network is constructed,and the congestion propagation process of peak passenger flow is simulated with reference to the propagation dynamics theory of complex network and cellular automata.The simulation results are compared with the Chongqing rail transit time operation data to verify the validity and rationality of the SIR-CA model for peak passenger flow congestion propagation on the road network.Finally,in view of the serious impact of road network peak passenger flow congestion and congestion propagation,comprehensively consider the matching limit between road network passenger flow demand and service capacity,and build a minimum average passenger delay time and maximize the matching of service capacity and passenger flow demand.Cooperative current limiting model for peak passenger flow congestion on the road network.Combined with the actual operation of Chongqing’s rail transit road network,a coordinated and current-limiting scheme for peak passenger flow congestion in line with the actual road network is generated to provide a theoretical reference for the rail transit operation department in passenger flow control.Based on the historical passenger flow data of the urban rail transit road network,this paper constructs the SIR-CA model of the peak passenger flow congestion propagation of the road network and the collaborative flow limiting model of the peak passenger flow congestion of the road network,and generates the collaborative peak flow restriction scheme of the road network peak congestion.This solution solves the problem of the mismatch between urban rail transit demand and service capacity during peak hours,and provides theoretical support for the urban rail transit operation management department.