As a country with a vast territory and close regional economic ties,China needs railways,a large-volume,high-speed transportation method to serve residents and promote regional economic development.With the acceleration of urbanization and the surge in passenger flow,trains are running.As a manifestation of the direct service of passenger travel,the difficulty coefficient of preparation has also risen linearly.At present,the optimization method of passenger train flow in my country is to compile passenger train operation plans based on the change law,growth rate,and passenger flow statistics of passenger flow statistics from previous years.With the development of complex network theory and technology and the remarkable results of research,the importance of the complex network constructed by the train operation plan-the passenger train service network has become prominent.Therefore,studying the problem of passenger train operation plan can be converted into the application of complex network theory to study the optimization problem of passenger train service network,which provides new ideas and methods for the preparation and optimization of train operation plans under network conditions.Through a comprehensive analysis of the existing literature,this paper found that most of the existing research on passenger train service network problems is the structure of the passenger train service network and the analysis of its stability,robustness,controllability,etc.at the level of the network topology,and most of the literature The problem of passenger train service network optimization has not been considered in his research.Therefore,this paper proposes to establish a comprehensive optimization model to solve the optimization problem of the development plan by combining its complex network characteristics and the target constraints of the development plan.First,the article introduces the basic theory of complex networks,gives the definition and description of characteristic parameters such as complexity network degree and degree distribution,path length,and analyzes common complex network models and characteristic parameters.Secondly,based on the train operation plan,with stations as nodes,as long as there is the same passenger train stopping between these two stations between any two stations,it is considered that there is an edge between the nodes representing these two stations,and the Space-P passenger train service network,and analysis and research on its network topology and network resilience.Secondly,the basic theory of railway emergencies and its influence mechanism on the passenger train service network are described;the total travel time of passengers and the maximization of network efficiency are used as the optimization objective function,and the line passing capacity and station connection are considered comprehensively.Constraints such as launch capacity,number of EMUs,passenger flow requirements,weights,train stops,etc,establish a passenger train service network optimization model under emergency conditions,and design an improved global artificial bee colony algorithm to solve the characteristics of the constructed model.Finally,take the network diagram of chaina’s railway network as an example to construct a passenger train service network,and solve the calculation example based on the model constructed in this paper and the improved global artificial bee colony algorithm.Comparing the global artificial bee colony algorithm designed and improved for the model in this paper with the basic artificial bee colony algorithm,the total travel event of passengers affected by the weight of the objective function is reduced by 4.11%,and the network efficiency of the objective function is maximized by 6.14%.A result verifies the validity of the model constructed in this paper and the algorithm designed,and also shows the feasibility of using the complex network theory to optimize the passenger train service network.The method of optimizing passenger train service network under emergency conditions proposed in this paper not only provides new ideas and methods for optimizing passenger train operation plan,but also provides effective decision support for the optimization of passenger train service network under emergency conditions. |