Quantitative Analysis And Countermeasure Research On Passenger Flow Congestion Of Rail Transit In Beijing

With the continuous development of economy and society,the rapid progress of urbanization,more and more people enter the city,public transport has become the choice of most urban residents.Especially urban rail transit has many advantages,such as fast speed,high punctuality rate and controllable time,which attracts a large number of urban residents to choose rail transit.A large number of passengers enter the rail transit network,followed by traffic congestion in peak hours.The morning and evening peak of working day has formed a normal congestion.In the whole urban rail transit network,not every line has serious traffic congestion,so it is necessary to evaluate the lines in the rail transit network through scientific methods to determine the current situation of line operation.At the same time,corresponding measures are taken to alleviate the congestion of urban rail transit.In view of the problems raised,this paper has done the following work:Firstly,the UTPS system is introduced,including the data structure of urban rail transit network in the system,the information contained in station data,line data and transfer data.The simulation process of UTPS system is described.The Dijkstra algorithm is used to search the best path of passengers,and the actual passenger data is allocated according to the cost function.Finally,the simulation analysis of rail transit passenger flow is carried out through the simulation path generated by the system.Secondly,the comprehensive evaluation system of rail transit congestion is established.Starting from the existing single evaluation index,through a series of principles,the representative evaluation index is selected,and the index value is standardized,Using analytic hierarchy process to give different evaluation indexes corresponding weights.Using the method of fuzzy mathematics,the comprehensive traffic congestion evaluation model of urban rail transit is established.Synthesize different evaluation indexes to form a comprehensive evaluation index of rail transit congestion.Finally,the evaluation value of single evaluation index provided by UTPS system simulation is used to get the congestion evaluation value of each period in the early peak period through the comprehensive evaluation model of rail transit congestion.Adjust the average departure interval of line 13 according to the large station empty train operation mode of line 13,and adjust the travel time of part of passenger flow through price leverage.According to the single congestion evaluation value provided by UTPS system simulation,the improved traffic congestion value is obtained through the comprehensive evaluation model of urban rail transit congestion established by the comprehensive evaluation system.Compared with the traffic congestion value obtained under the existing rail transit operation mode,the results show that the proposed improvement measures can effectively alleviate the traffic congestion in the early peak.