Research On The Train Operation Plan Considering The Time Value Of Passengers Under Emergencies

With the continuous improvement of China’s railway network,railway has gradually become the primary choice for passengers travelling medium to long distances due to their convenience,speed,comfort and safety.China’s railways are widely distributed and geologically complex,prone to natural disasters such as earthquakes,landslides,floods,heavy rains and snowstorms.Such emergencies have a great impact on passenger travel and railway transportation organizations,and the travel choice behavior of passengers under emergencies is significantly different from the normal situation.Therefore,it is important to analyze the travel mode selection behavior of passengers under emergencies and use the interdependence characteristics of rail transit comprehensive networks to study the operation of passenger trains in order to mitigate the adverse effects of emergencies on railway transportation organizations,which is of great practical significance to meet the travel demands of passengers under emergencies and improve the level of emergency protection under emergencies.Based on in-depth analysis and reference to relevant literature at home and abroad,this thesis develops the relevant research.Firstly,the definition,classification and impact of railway emergencies are discussed.The impact brought about by railway emergencies,including the impact on capacity and volume,train operating speed and train running schemes,etc.The components and impact factors of train running schemes under emergencies are analysed based on the adverse impact caused by emergencies.Then,the theory of passengers’ generalized travel cost and passenger’s time value is expounded.Based on the basic theoretical analysis,the generalized travel expenses of passengers are studied from the aspects of economy,speed,comfort,convenience and safety according to different payment capabilities.Then,the multi-objective planning model with the constraints of line passing capacity,full load rate,number of train sets and railway passenger service rate is then established based on the principles of programming under contingencies,with the optimisation objectives of minimising the broad travel cost of passengers and minimising the transport cost of the railway sector.A non-dominated genetic algorithm with an elite strategy is designed to solve the model.The algorithm design combines the penalty function strategy and the chromosome correction strategy,which improves the solution efficiency of the algorithm while ensuring better convergence of the algorithm.Finally,a virtual contingency scenario is constructed,and the proposed model of train running scheme is instantiated and solved by the algorithm designed in this paper.The genetic algorithm with different strategies is used as a comparison scheme for the algorithm in this paper,and the proportion of the paying crowd and the distance of the line are changed in the model to obtain the train operation scheme under different contingency scenarios respectively.Based on the existing research,this paper takes into account the disposable income of passengers and the additional costs that passengers are willing to pay in case of emergencies to study the passenger time value of different types of trains in case of emergencies.The study of passenger train operation based on passenger travel demand under emergencies can help reduce the impact of emergencies and improve the level of emergency protection of railway departments under emergencies.In practice,changes in passenger flow can have a significant impact on the train operation plan,so the interrelationship between the two can be studied based on the volatility of passenger flow in order to better meet the changes in passenger travel demand.