Research On Transfer-Coordination Based Train Operation Under Network Transportation For Urban Rail Transit

Under the circumstance that the urban rail transit network comes into formation,the passenger transferring among different lines and the inherent resource utilization of each line are distinguished both from the dimension of space and time.Meanwhile,the structure expansion of network leads to the diversity of line passengers' demand,and the train operation scheme emphatically take whole network's integr ity and coordination among lines into consideration.Therefore the study of train operation scheme should be given abundant importance for urban rail organization under network transportation,so that the transportation efficiency of metro network can be fully yielded.Researching the basic conditions for metro train operation is the first part of this dissertation.On one hand,the passengers' time-space distribution and passengers' characteristics at key transferring nodes had been analyzed considering the features of metro network's physical structure.On another,detailed study was conducted on whole network's systematic transportation capacity from the perspective of metro rolling-stock,line infrastructure,train routing and so on,and then modified the fitness-based routing terminals selection model under long and short train routing conditions.Meanwhile,a platform's service control model was put forward after analyzing the static and dynamic passenger's capacity on transfer stations.The second part is building the TCBTO objective function started from researching the operation organization coordination model concluding economy,transportation capacity and coordination,by analyzing related influence factors.Firstly,the economic target is composed of passengers' generalized trip cost together with metro network's operation cost as well as the external benefits arising from public transportation efficiency.Then the network's capacity target considers the utilization coefficient level of every line screen section.The third is the transfer coordination target concerning the platform's dwelling level which is associated with onboard passengers' state of current carriage and stranded passenger number on platform judged by the arrival and departure rate.The model's optimal solution is calculated by designing multi-objective optimized function under FSSM,the calculation algorithm is integrated with Genetic Algorithm and Ant Colony Algorithm,which can both enhance the convergence rate and reserve the positive and negative feedback mechanism.In the following instance analysis,the passenger volume data from simple network consist of three lines of Xi'an Metro was used to optimize the train operation scheme during peak hour,exporting train operation parameters concluding the train interval,marshaling number and the like.Finally by contrast with existing scheme,the optimized could efficiently enhance the transferring level of service and the train usage at the cost of partial stations' dwelling time.To verify the validity and feasibility of the coordination model for transfer stations,the simulation software Viswalk based on the social-force theory was brought into use to simulate and evaluate the passenger service level of interchange station from a micro perspective.The simulation environment was built upon different attributes of passenger behavior based on the analysis of passenger direction distribution and passenger flow streamline organization.Related control parameters both physically and logically was set for peak period before and after the optimization for continuous simulation.After comparing simulations' estimation,the outcome indicated that the optimized scheme from our model obviously lower the number of retaining passengers on platform for metro lines with a higher volume,the metro train organization scheme model has a positive effect on the whole network coordination among lines.