Research On The Optimal Design Of Air-Rail Composite Transport Network

When passengers travel,the choice of transport mode is affected by many conditions,In the current competitive transportation market,the complementary advantages of civil aviation and high-speed railway are helpful to meet the travel demands of passengers.This paper provides convenient and time-saving travel service for passengers by studying the optimization design of air-rail composite transport network.Based on the theory of market competition,the paper makes qualitative and quantitative analysis on the competitive relationship between civil aviation and high-speed railway,and classifies the influence factors of passengers transport demand;Based on the theory of disaggregate,the utility function of passengers travel and the model of distribution rate of passengers transport are constructed and solved;On the basis of time index,the in-journey and connection time of passengers travel are quantitatively analyzed to obtain the effective competitive transport distance between civil aviation and high-speed railway.Determining the candidate city set of transit hub is an important part of the design of air-rail composite transport network.Based on the theory of comprehensive traffic hub,the evaluation indexes used to evaluate each city node in the network are selected to construct the transit hub evaluation index system of transit hub in the air-rail composite network;Calculating the values of centrality index and analyze the correlation between centrality index and urban traffic volume;Combined with examples,the evaluation index values of each city are extracted for systematic cluster analysis to determine the candidate city set of transit hub in the air-rail composite network.Based on the theory of air transport planning,the optimization design model of air-rail composite network is constructed to minimize the composite cost of price and time as the target according to different travel demands of passengers;The solution of the model is divided into three parts and an improved genetic algorithm is proposed;The solution with the lowest combined total cost is selected as the optimal solution and the specific transport path is obtained;The method of conventional linear programming is used to solve the model,and the obtained results are compared with those of the improved genetic algorithm.The result shows that the balance between the solution speed and the optimal solution is achieved by using the improved genetic algorithm solution model.