基于BP神经网络的青海省公路网建设规模预测

发布时间：2018-03-26 13:15

本文选题：适应性分析　切入点：灰色关联度评价　出处：《长安大学》2015年硕士论文

【摘要】：交通运输业是社会发展进程中不可或缺的“桥梁”,改革开放以来,交通运输业的作用越发变得重要。在促进经济发展的同时,交通运输业自身也得到了迅速发展。公路网作为基础设施中的重要组成部分,对人类的生产活动、社会经济发展有重要的作用。我国青海省幅员广阔、资源丰富、自然环境较差、人口居住分散,公路运输在西北交通运输体系中具有独特优势,承担青海省的主要运输任务。但西北公路交通的落后状况与青海省重要的战略地位并不适应,不利于青海省资源开发、经济发展、民族团结和边疆稳定。研究青海省公路网现状,能够更加客观地指导青海省的公路网建设,对于提高青海省城市化水平,缩小地区差异和经济可持续发展具有重要的现实意义。然而公路在使用过程中,受到多种因素的影响会出现不同程度的损害,影响了公路网运输效率。因此,在西北公路网的不断建设过程中,应同时进行养护工作,确保公路网的效率最大化。本文结合青海省交通运输需求的特征,首先对青海省公路网现状进行了系统的分析,为青海省公路网战略规划和评价提供依据。基于公路网建设机理,本文通过BP神经网络对青海省的公路网建设规模进行了预测。
[Abstract]:Transportation is an indispensable "bridge" in the process of social development. Since the reform and opening up, the role of transportation has become more and more important. As an important part of infrastructure, highway network plays an important role in human production and social economic development. The natural environment is poor, the population is scattered, the road transportation has the unique superiority in the northwest transportation system, undertakes the main transportation task of Qinghai Province, but the backward condition of the northwest highway traffic does not adapt to the important strategic position of Qinghai Province. It is not conducive to the exploitation of Qinghai Province's resources, economic development, national unity and stability in the border areas. To study the present situation of the Qinghai highway network can guide the construction of the Qinghai highway network more objectively, so as to improve the urbanization level of Qinghai Province. Reducing regional differences and sustainable economic development is of great practical significance. However, in the process of highway use, the road will be affected by a variety of factors, which will lead to varying degrees of damage, which affects the efficiency of road network transportation. In the process of the continuous construction of the northwest highway network, the maintenance work should be carried out at the same time to ensure the maximum efficiency of the highway network. According to the characteristics of the traffic and transportation demand in Qinghai Province, this paper firstly makes a systematic analysis of the present situation of the highway network in Qinghai Province. Based on the mechanism of highway network construction, this paper forecasts the scale of highway network construction in Qinghai province by BP neural network.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U412.1

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