Improvement Of Passenger Transfer Efficiency In Transfer Station Of Urban Rail Transit

Under the background of the“One Belt and One Road”development strategy and the launch of the“Thirteenth Five-Year Plan”,China has vigorously developed urban rail transit to resolve the contradiction between people's travel demand and inadequate supply of road transport facilities,and has significantly improved the urban congestion problem.From the rise of rail transit in major cities to the maturity of the line network,the proportion of passenger flow online online traffic is increasing day by day,becoming an extremely important passenger flow type in the rail transit system.Therefore,it is of great significance to improve the transfer efficiency research to improve the current status of operation of the urban rail transit system and improve the efficiency of operation and management.Taking the transfer station of urban rail transit as the research object,the overall transfer process was analyzed,the influencing factors of transfer efficiency were summarized,and many influencing factors were calculated through the grey correlation analysis method.Finally,the transfer efficiency was concluded.The degree of correlation between the influencing factor and the target result is to be comprehensively optimized from the design of the passenger streamline and the timetable for the transfer of the connected train set,and the improvement of the transfer efficiency is modeled.During the study of passenger flow lines,a speed-density survey was conducted on the straight-passage of a typical subway station in the“station hall transfer”mode and the passenger flow in the diversion fence,and the data was fit-analyzed,resulting in high passenger density.At 1.01 person/m~2,the average travel speed of the passengers in the fence is greater than the passenger speed in the straight passage.Through the Anylogic 7.3.1simulation software,the matching rules between the passenger density and the fence setting method are explored.Taking the Xiaozhai subway station as an example,the above findings are applied to streamline optimization.The passenger density distribution tends to be uniform and the average transfer travel time is improved.In the construction of the timetable optimization model for transfer trains,the relationship between passenger transfer time,transfer train arrival time and train stop time was characterized,and the model expression of passenger transfer time was established,Constrained analysis of the adjustment interval of the train schedule,and determined a reasonable range of constraints.Combined with the characteristics of the model,the optimization algorithm was determined as a genetic algorithm.Combined with the model,a calibration method for the parameters of the genetic algorithm was designed.In the construction of the timetable optimization model for transfer trains,the relationship between passenger transfer time,transfer train arrival time and train stop time was characterized,and the model expression of passenger transfer time was established.,Constrained analysis of the adjustment interval of the train schedule,and determined a reasonable range of constraints.Combined with the characteristics of the model,the optimization algorithm was determined as a genetic algorithm.Combined with the model,a calibration method for the parameters of the genetic algorithm was designed.Finally,taking the Xi'an subway station as an example,the model was first applied to the Xiaozhai station for spot order optimization.The optimization results reduced system transfer waiting time by 92.3%and 76%,respectively,validating the effectiveness of the optimization model,but with certain limitations.Sex;further coordinated optimization of multi-transfer stations in the east-north transfer direction of the Xi'an rail transit network,which reduced the waiting time of the system by 38.6%,and verified the correctness and universality of this optimization idea.