Research On Last Train Connection Optimization And Delay Adjustment For Urban Rail Transit Network

As the structure of urban rail transit network becomes more and more complex,trains of each line meet at transfer stations for passengers transfer.At this time,how to coordinate the connection of trains at transfer stations plays a key role in the operation efficiency of the transportation network.In order to save resources and improve operation efficiency,domestic urban rail transit usually does not operate at night.The last train is the final guarantee for passengers to reach the destination station.The effectiveness of connecting the last train of each line at transfer stations determines the accessibility of the last train passengers.Therefore,it is of great significance to optimize the connection between the last trains under the condition of network.Under the condition of urban rail transit network,this paper analyzes the passenger flow characteristic and the operation particularity of the last trains,and then puts forward the principle of the last trains connecting and its delay adjustment.In this paper,the coordination optimization model and delay adjustment coordination optimization model of last train schedule are constructed,with the intelligent algorithm being designed to solve and verify them.The main contents of this paper are as follows:Firstly,this paper analyzes characteristics of passenger flow and train operation of the last train,and then puts forward the connecting principle of the last train under the network condition.Taking a single transfer station as an example,the conditions for the successful transfer of the last train passengers are calculated,and the conditions of unidirectional and bidirectional connection are analyzed respectively.The paper analyzes the causes and consequences of train delay,summarizes the existing delay adjustment methods,and puts forward the principle of the last train delay adjustment according to the particularity of the last train delay adjustment.Secondly,this paper constructs an optimization model of the last train connection under the condition of non-delay.The concept and calculation method of passenger perceived cost are put forward,and the difference of passenger flow walking time is analyzed.Based on passenger perception,an optimization model of the last train schedule is constructed with the goal of minimizing last train passengers' total transfer perceived cost,and a multi-population genetic algorithm is designed to solve it.The example proves that by adjusting the departure time of the last train of each line,the running time between the transfer stations and the stopping time of the transfer stations,the number of successful transfers and connections is increased,and the average waiting time of the successful transfer passengers is reduced.Thirdly,this paper constructs a train schedule adjustment model under the condition of last train delay.This paper analyzes the different situations of the direct passengers and the transfer passengers affected by the delay of the last train.This chapter introduces the penalizing time of the transfer failure and proposes the calculation method of the passenger delay time.Taking minimum all passengers' total delay time and minimum schedule adjustment deviation as two objectives,a schedule adjustment coordination optimization model while last train delay is constructed.An example is given to verify the results.Fourthly,the paper takes Chengdu Metro Network as an example to verify the effectiveness of the model and algorithm.The results show that when there is no delay,by using the coordination optimization model,the total transfer perceived cost of all passengers was reduced by 23.8%,the number of successful transfers was increased by 23.7% and the average waiting time was decreased by 40.6%.Assuming that the last train on Metro Line 1 upline arrives at Wenshuyuan Station 3 minutes late,by using the delay adjustment model,the total delay of last train passengers was reduced to 14.6% of that before optimization,and there was no passengers who cannot reach the destination.The paper contains 31 figures,34 tables and 79 references.