摘要如今，铁路的发展作为一个国家发展的带动性力量，决定着国家的经济命脉，它正发挥着越来越重要的作用。高速铁路的发展不断向前推进,高速铁路也作为一项重大技术成就，反映了一个国家的工业和科技水平，在加强旅客服务质量的同时也在不断提高旅客的出行效率。然而，高速铁路在不断带来方便的同时，也出现了一些问题，比如高速铁路服务水平得不到更高的提升，究其原因是高速铁路运营管理方法不当，没有根据我国现实情况作出调整。想要提高铁路服务水平，关键在于设计与优化列车运行图，列车运行图作为调度指挥工具，它影响着区段内行车的效率。

本文就依据我国铁路行车组织体制的特点, 建立了优化和改进模型，研究列车运行图的设计及优化。81149

首先对我国的列车运行图设计进行研究，主要包括列车运行图的概念意义，运行图设计的要素，步骤以及初始布点等。

其次根据我国列车运行图的设计的一些基础理论知识，设计运行图各类列车初始布点和运行线生成的方法，并设计运行图铺算法。

最后, 采用现场数据,建立优化模型， 应用该算法对列车运行调整问题寻求最优求解方法,并对关键参数和求解步骤进行详细设计，表明微粒群算法能够很有效率解决列车运行调整问题。

毕业论文关键字：铁路发展  列车运行图  调整  粒子群算法 

Design and Optimization of Train Operation Diagram

Abstract Now, railway development as a driving force of the country's development, determines the country's economic lifeline, it is playing an increasingly important role。 With the advance of China's "Twelfth FiveYear Plan", the development of highspeed railway has moved forward in enhancing the quality of passenger service, while also increasing the efficiency of passenger travel。 However, highspeed rail continues to bring convenience, but also there have been some problems, such as highspeed railway service can not be improved, the reason is the highspeed rail operators to improper management, have not been adjusted according to China's realities。 Want to improve the level of railway services, it shows that particle swarm optimization (PSO) algorithm can solve very efficient train operation adjustment, which affects the sector within driving efficiency。

In this paper, based on the characteristics of railway traffic organization system, establish and improve the optimization model to study the train diagram design and optimization。

Firstly, with key issues such as the preparation of train operation diagram of the analysis, including the basic requirements of train operation diagram, the preparation and the characteristics of the preparation process。

Secondly, according to some basic theoretical knowledge of train operation diagram of the design, the design of various types of train operation diagram and run the initial distribution line generation method, and algorithm design Diagrams。

Finally, onsite data, optimization model, the application of the algorithm for train operation adjustment for finding the optimal solution method, and the key parameters and steps to solve the detailed design, the results show that PSO algorithm to solve the Train Operation Adjustment efficient and practical。

Key Words:  High speed railway   the train running   adjustment   

the particle swarm algorithm 

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