| With the continuous promotion and development of urban rail transit in China,urban rail transit has gradually become the first choice for passengers in various cities due to its advantages of convenience,low energy consumption,high safety and great capacity.Among them,Beijing,Shanghai and Guangzhou have already formed the network operation mode,which produced a variety of routes in urban rail transit,from traditional single route to loop route and Y-type route with branch lines,etc.And train routing mode also vary from single routing mode to full-length and short-turn routing mode,loop routing mode and Y-type train routing mode,etc.At the same time,the passenger flow distribution on the urban rail transit line also changes,showing the characteristics of uneven distribution in time and space.This promote the operating enterprises to optimize the train schedule to adapt to the changes of passenger flow and its development needs.It is also beneficial to improve the service level of urban rail transit lines,make full use of the resources of rail transit lines,reduce the cost of operating enterprises,and enable the urban rail transit system to operate in a safe,stable and economic way.On the basis of reading a large number of relevant references at home and abroad,this thesis takes the urban rail transit line with Y-type train routing mode as the research object and establishes the optimization model of urban rail transit train schedule.Then the commix classified learning particle swarm optimization algorithm(CCLPSO)is used to solve the model.Finally,an urban rail transit line in China is used as a case for verification.Based on the above description,the main research content of this dissertation mainly includes the following aspects: Urban rail transit operators aims to improve the service level and to reduce the operating costs.For urban rail transit lines which adopt Y-type train routing mode,how to adopt a reasonable train schedule to meet the demand of passengers while tapping the potential of the capacity through deploying the existing transport capacity has become a significant issue.Based on the existing research results,the main contents and conclusions of the dissertation are shown as follows.(1)Referencing the existing literature,this thesis systematically analyzes the form cause and characteristics of Y-type train routing mode.The key technology of Y-type train routing mode,that is to say,transfer type and transfer principles of passenger organization are analyzed.Then the engineering conditions of implementing Y-type train routing mode are summarized.This thesis also makes a statistical analysis of the existing urban rail transit lines which adopting Y-type train routing mode in China.(2)On the basis of analyzing the Y-type train routing mode,the composition and factors that mainly influence the compile of train schedule of Y-type train routing mode are analyzed.Combined with the operation and organization characteristics of Y-type train routing mode,the compilation principles and procedures of train schedule of Y-type train routing mode in urban rail transit are discussed in detail,which provides a theoretical basis for the establishment of train schedule model of Y-type train routing mode.(3)Combining the practical experience of transport organizations and the principle of the best match between transport capacity and passenger flow demand,taking the minimum value of passenger travel costs and corporate operating costs as the goals,considering the constraints of maximum rail capacity,minimum departure frequency and maximum available electric multiple units,a optimization model for city subway Y-type train routing mode is constructed to determine the operation section of mainline and branch line and the train frequency on both lines in the Y-type operation mode.(4)Taking an urban rail transit line which adopts Y-type train routing mode in A city as a case,the dissertation gets the optimal train schedule with Commix Classified Learning Particle Swarm Optimization algorithm to solve the optimization model that is based on the above discussion.Then the corresponding indexes are selected to analyze and evaluate the obtained train schedule.(5)The thesis compares the optimal train schedule,the train schedule that the branch line adopts separate operation mode,the train schedule that the branch line adopts fully straight-through operation mode and the train schedule that the branch line adopts partly straight-through operation mode.The results show that: First,with the shortening of the operation section of branch line under the Y-type mode,the waiting time of passengers on the rail transit line increases.And the shorter the operation section of the branch line,the longer the waiting time of passengers.It is unfavorable to passengers.Second,with the increase of the train frequency of the branch line under Y-type mode,the waiting time of passengers on the line decreases gradually,and the decreasing speed decreases gradually.The number of the adopted trains and the distance of the train travels presents a linear growth trend.The travel cost of passengers decreases,and the operation cost of enterprise does not increase or decrease.When it is greater than 14 pairs per hour,the operation cost begin to increase.The comprehensive cost of both show the trend of ups and downs,thus it can be seen,It is critical to determine the train frequency on the branch line;Finally,with the increase of the transfer passengers,only extend the operation length of branch routing line can meet the needs of passengers and operation enterprise.But when the change to the transfer passenger growth is 1.3 times,it also need to increase train frequency of branch train routing to achieve the goal,and the train frequency of main line and branch line tends to 1:1.When the transfer passenger flow increases to 1.8 times of the original,the train frequency of the branch line needs to be greatly increased,and the train frequency on the main routing line and branch routing line gradually tends to 2:3 from 1:1. |
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