Study On Optimization Algorithm Of Urban Rail Transit Train Operation Adjustment Considering Passenger Flow Change

With the development of urbanization in China,the problems of traffic congestion,environmental pollution,energy shortage and land resource shortage are becoming more and more serious.Urban Rail Transit is one of the most important means of public transportation for short-distance travel because of its high transportation volume,low environmental pollution,low energy consumption,mature technology and high factor of safety.However,with the passenger flow increasing gradually,urban rail transit is prone to be disturbed by stochastic factors such as passenger flow fluctuation,equipment failure,bad weather and so on under the conditions of high-density and interval operation,resulting in the destruction of train Operation Stability.As a result,the travel time of passengers is prolonged and the service level of Rail Transit System is reduced.Therefore,this thesis analyzes the key factors that affect the stability of the train working diagram,aiming at the problems of low automation and unreasonable adjustment scheme of the current train Operation Adjustment.The feasible plan of train operation adjustment is put forward to improve the operation efficiency of the transportation system.Firstly,based on the research status of train operation adjustment at home and abroad,this thesis analyzes the structure and function of Train Operation Adjustment Module,and studies the cause of interference and the propagation characteristics of delay.By analyzing the types and setting principles of the redundant time,this thesis studies the mechanism of the effect of the redundant time on the delay,and expounds that the generation of the initial delay is the main cause of the self-delay and the associated delay.Through the further study of the realization process of train operation adjustment,this thesis puts forward the realization scheme of train operation adjustment.On the one hand,through setting reasonable redundant time of train Operation Diagram,the adjustability of train operation time is improved;On the other hand,a reasonable train Operation Adjustment Program is established to adjust the train operation deviation and improve the operation efficiency of the transportation system.Secondly,one of the key factors to improve the stability of the operation diagram is to set the redundancy time reasonably.In this thesis,we describe the mechanism of redundant time based on birth-death process,aiming at the problem that the existing model does not study the influence of the mutual restriction of multiple redundant time on the absorption of delay.In this thesis,a synchronous optimization model is proposed to optimize the redundant time of the station and the interval simultaneously.The model balances the shortage of the redundant time and the double redundancy which lead to the bad effect of delay absorption.The simulation results show that the synchronous optimization model can get the interval redundant time and the corresponding station redundant time according to the mean of random interference,compared with the current redundant time allocation scheme At the same time,the utilization of redundant time is improved.Finally,for the delayed trains affected by interference,the problem of solving the problem is solved by using the redundant time set in the operation diagram,considering the impact of the unbalanced passenger arrival time distribution on the adjustment of train delay.The existing automatic train adjustment model does not involve the optimization of train interval and stopping time under the dynamic passenger flow input.In this thesis,the queuing theory is introduced to study the relationship between passenger flow changes and train spacing and parking time.Based on the vacation queuing model,an optimization model is established which can reduce train delay time and increase train traffic volume.The model can be optimized for parking time according to the average queue length and solved by a linear weight loss Particle swarm optimization.The simulation results show that the proposed method can improve the operation efficiency of the transportation system in the process of absorbing the delay compared with the model which only reduces the delay time.