Train Operation For Peak Passenger Flow Research On Collaborative Adjustment Methods

Urban rail transit has become an important mode of transportation for residents because of its convenience and speed.However,in actual operation,some unpredictable events often occur,making the train unable to operate according to the original planned operation chart,resulting in train delays.In addition,due to the short interval between trains and the simple route,the train cannot surpass the previous train.Especially in the peak period of passenger flow,train delays will cause disorder of train operation in the entire line network.Moreover,the spread of delays will cause congestion in the passenger flow of the platform,which will affect the passenger travel experience.Therefore,in order to reduce the adverse effects caused by train delays,it is of great significance to formulate corresponding train operation adjustment strategies.First,this article analyzes the passenger flow characteristics of the line,the reasons for train delays and the propagation process,and proposes a coordinated adjustment strategy for train operation.The core idea of this strategy is to reduce the passenger flow waiting on the platform and extend the stop time of coordinated trains.In this way,the passenger flow pressure of the delayed train can be reduced,and the operation adjustment efficiency of the delayed train can be improved and the total waiting time of passengers can be reduced.Secondly,the article studies the coordinated adjustment method of train operation.The operation adjustment of the coordinated train determines the extended stop time of the coordinated train according to the full load of the train and the rate of passenger flow entering the station.Then the reduction in passenger flow at the platform after coordinated adjustment can be calculated.On this basis,the total delay time and the total waiting time of passengers are minimized as the optimization goal to establish a multi-objective train operation adjustment model,and carry out the operation of the delayed train.Then,the article uses an improved particle swarm algorithm to solve the delayed train operation adjustment model.By analyzing the advantages and disadvantages of the particle swarm optimization algorithm,the inertia weight and learning factor of the particle swarm are improved and the mutation operator is designed to solve the problem of premature convergence due to local optimization.At the same time,through simulation comparison with traditional particle swarm algorithm,the superiority of the improved particle swarm algorithm is verified.A case study of Metro Line 2 is carried out,and the results show that the coordinated adjustment method of train operation has good applicability and effectiveness.Finally,using Visual Studio2010 and MFC development platform,C++ development language and MySQL database,complete the design and development of the train operation adjustment system,complete the program design of the operation adjustment model and algorithm,and pass the verification of the train operation data and passenger flow data of a certain subway Related functions of the system.