Research On The Model And Application Of High Speed Railway Ticket Allocation

In the late 1980 s,China began to conduct in-depth research on high-speed railway construction and operation management.Until now,the development speed of high-speed railway in China has attracted worldwide attention.At the same time,other modes of transportation are flourishing,and the competition among various modes of transportation is increasingly fierce.Only by continuously improving service level,optimizing operation organization management and exploring scientific and reasonable operation plan,can we improve the core competitiveness of China's high-speed railway.High-speed rail is attracting more and more passengers with its excellent quality service,safe operation mode and comfortable environment.Paper mainly studies the allocation of tickets of high-speed railway,and hopes to further optimize the allocation of tickets.Firstly,this paper analyzes the current research situation of relevant fields at home and abroad,summarizes the research results of previous generations and learns more deeply from them.On this basis,combining the development status of China's high-speed railway and the problems faced in actual operation,the distribution model of ticket is presented.In this paper,we mainly consider the randomness and volatility of passenger flow,and set up the ticket allocation model of deterministic demand and stochastic demand respectively.Model of objective function is the pursuit of maximizing the benefit of the railway,the objective conditions is the capacity of the train,with the perspective of as much as possible to meet passenger travel demand to establish model.In addition,the model not only considers the ticket allocation of single train,but also analyzes the influence of multi-train station scheme on the ticket allocation.Aiming at the established model,the corresponding algorithm is designed to solve the model.For the multi-train ticket allocation model,using Lingo software,the ticket allocation scheme is obtained.For a single train ticket allocation model under stochastic demand,this paper uses the genetic algorithm toolbox and particle swarm optimization(pso)algorithm to solve respectively.Finally considering the volatility of the prediction,any prediction method cannot accurately reflect the actual travel demand.If only taking the initial ticket allocation that will lead to the train capacity of waste.Therefore,it is necessary to dynamically adjust the initial scheme according to the established model.In this paper,the dynamic adjustment model of ticket allocation is set up,and the matching between train capacity and passenger demand is achieved through adjustment.Taking the train D2684 as an example,the paper calculates the maximization of ticket revenue under three assumptions respectively,and obtains three results.The results show that compared with the scheme without considering ticket discount sales,the model improves the revenue of railway department on the premise of making full use of the capacity of train seats,and the dynamic adjustment scheme based on this further increases the railway The income of passenger ticket can better adapt to the changing demand of passenger ticket,which can provide optimization for the ticket allocation method of high-speed railway.