High-speed Train Service Network Optimization Under Emergency Conditions Based On Passenger Demand

In recent years,the road network of my country’s high-speed railways has become increasingly complex,and the operating hours have been accumulating.At the same time,my country has a vast territory,complex geographical environment,frequent occurrence of various natural disasters,and the operation of high-speed trains are easily affected.Studying the distribution method of high-speed train passenger flow under emergency conditions and optimizing its service network is of great significance for improving the revenue of the railway transportation department and reducing the travel cost of passengers.This paper summarizes the problems of passenger flow distribution and service network optimization at home and abroad by sorting out and analyzing existing literature.It is found that most researches on passenger flow distribution are concentrated in road traffic and ordinary-speed railway transportation organizations,while research on high-speed trains is relatively small.Moreover,the existing research on passenger flow distribution of high-speed trains is mainly focused on normal conditions,and there is still a large research space for passenger flow distribution in emergencies.In addition,the number of model parameters in the optimization of the train service network is large,and it is easy to be affected by subjective factors,which causes the model to have certain limitations.Aiming at these problems,this paper proposes a model and algorithm for collaborative optimization of passenger flow distribution and train service network under emergency conditions.First,the article defines high-speed train emergencies,and analyzes the relevant theories of high-speed train passenger flow distribution.Then,it introduces the basic characteristics of the network and several basic network models,sets the service network,and builds Train service network,and analyze the direct and halfway transfers in the high-speed train service network.Secondly,the basic method of passenger flow distribution is introduced,the effective route of passenger travel is defined and related parameters are analyzed.The certainty and passenger travel assumptions under emergencies are introduced to deal with passenger flow and service network.The generalized passenger travel cost is constructed from the passenger fare expenditure and travel time conversion cost,and the passenger flow distribution model is established with the goal of minimizing the generalized passenger travel cost,and the model is solved by an improved algorithm based on MSA.Then,the content and principles of optimization of train service network are introduced.Analyzed the train stop mode and the principle of stop setting,and established the service network optimization model with the goal of maximizing the economic benefit of the railway operation department and minimizing the generalized cost of passenger travel.The model was simplified and the model was solved by genetic algorithm.Finally,based on the actual operating conditions of high-speed trains from Shenyang to Beijing,emergency scenarios are designed,and the model and calculation examples of passenger flow distribution and train service network collaborative optimization under emergency conditions designed in this paper are verified.The operation results prove that the model and algorithm for collaborative optimization of passenger flow distribution and train service network established in this paper are feasible.The collaborative optimization model and algorithm proposed in this paper can provide effective decision support for the operation organization of high-speed trains under emergency conditions.