Study On Adjustment Of The Urban Rail Transit Trains Operation Considering Dynamic Passenger Flow

With the acceleration of urbanization,the increase of urban population,traffic supply and demand contradictions are prominent,leading to traffic congestion,environmental pollution and so on,severely affecting the development of economic.Urban rail transit,as a new mode of transportation,has become the first choice for many cities to ease traffic pressure.Trains strictly according to the train operation plan,but due to the small departure interval,short tracking time,passenger flow time and space differences of features,the system may have instability,once the train delay,if not timely processing,easy to lead to the impact of the entire operating system.Therefore,study on adjustment of the urban rail transit trains operation considering dynamic passenger flow is important.In this paper,in view of train delays of different sizes,the train operation adjustment strategy is proposed,trying to make the trains that deviate from the schedule,and restore the passenger satisfaction to normal operation.The main work of this paper is as follows:Firstly,the research theory of the operation adjustment of trains summarizes the relevant contents of the train operation plan,divides the scenes of different delays,analyzes the impact of train delay and operation interruption.Meanwhile,the advantages,disadvantages and applicability of the operation adjustment method are summarized.Secondly,in view of the adjustment of the operation of urban rail transit trains under disturbing,the adjustment strategy based on the time remaining time of the schedule is proposed,and the model under the disturbing scenario is constructed from the perspective of passengers and operators.For timeliness of solution,the traditional particle group algorithm is improved,so as to find the optimal scheme of train operation adjustment.Thirdly,in view of the adjustment of the operation of trains under the circumstances of the interruption of operation,the strategy of organizing small routing operation under different interrupt scenarios is proposed,and two types of train operation adjustment model with the objective of minimizing the number of stranded passengers is constructed: the first is to use the adjustment model of the operation of the small cross-section of the train organization to the line,and the other is to organize the adjustment model of the small crossing on both sides of the fault area.Then,the particle group algorithm is used to solve the model.Finally,the MATLAB platform is used to verify the reasonableness of the model and the availability of the algorithm.The results of the numerical analysis indicate that the optimal scheme produced by the adjustment strategy based on the time left on the schedule can validly decrease the influence of delay on the subsequent trains and stations,with the increase of delay time,the improvement effect of passenger waiting time and total train deviation is obvious;and the optimization effect of peak hours is higher than that of flat peak period.