In order to keep national economys sustainable, rapid and coordinated development, developing the railway is the strategic choice to realize the great rejuvenation of the Chinese nation. Through the optimization of productivity layout, optimize locomotives, locomotive maintenance equipment resources configuration, can not only improve the efficiency of railway transportation, but also reduce the national financial investment. This thesis studies the locomotive overhaul layout optimization adjustment method, established the locomotive overhaul layout optimization adjustment model and corresponding algorithm of the design model. Based on the analysis of the nature of the problem, makes the minimum cost as the objective function, a bi-level programming model is established, and by using iterative idea, design double iterative optimization algorithm to solve the bi-level programming model.

The road traffic problem is growing worse and worse, its roots in the imbalance of road transport supply and demand. This article analysis the characteristics of traffic supply, traffic demand and supply-demand balance to make sure that the interval of supply-demand balance is exist, meanwhile make the total length of road net as a parameter then work with the level of service of the road net to built a interval model to work out the interval, then get the internal development law of supply-demand balance by the combination of qualitative and quantitative. After get the law, people can use it to optimizing the limit traffic resource of city, consummating the knowledge frame of transportation planning, at last to remitting traffic congestion and making it convenient for people to travel.

In view of the phenomenon that the affected area is broader, more severe losses and more difficult to relief in the urban agglomeration after major natural disasters,it is proposed that transport system reliability calculation method which based on BP neural network model.First of all,analyze the urban transport system network after a disaster, using the weight contribution rate analysis method to extract the key nodes in the network; Second, re-integrating the extracted nodes and establishing a new road network model which based on BP neural network;Then, using the cut set algorithm computing network reliability, and combined with the extent of damage of the road network after a disaster, putting forward the calculation method of urban agglomeration road network reliability after disasters; Finally, for example as changsha-zhuzhou-xiangtan urban agglomeration, examining the authenticity of the method.

This paper, based on the related concepts of traffic supply and traffic demand, starting from the features of the unbalanced traffic supply and demand, analyzes the factors that influence the degree of traffic supply and demand unbalanced and puts forward the measurements of the disequilibrium degree of the city traffic supply and demand based on road network capacity. By the means of the ratio of supply and demand in the urban traffic network difference to the total supply to calculate the degree of disequilibrium, and applicate in the city of M as an example and analysis. The results show that the method is feasible and practical.

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