基于粒子群优化算法的昆明市农村公路养护资金优化网级决策模型

发布时间：2018-01-20 23:46

本文关键词： 农村公路养护资金优化决策粒子群优化算法　出处：《昆明理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：农村公路是路网结构中的“毛细血管”,是重要的农村公益性基础设施,是连接城乡的纽带,对促进农村区域经济繁荣发展发挥着重要作用。因农村公路自身“公益性”的性质决定了养护资金只能由政府主导,但我国农村公路总里程数据庞大,养护资金需求大,政府财政资金供给有限,养护资金缺口大是制约我国农村公路养护事业发展的一大瓶颈。农村公路养护决策有项目级和网级两个决策层次,项目级决策是针对具体路段采取何种养护措施,影响因素主要有养护资金、公路技术状况、交通量、自然因素、路网中的重要程度以及行政因素;而网级决策是在一定的目标要求下对整个路网的待养路段以怎样的先后顺序进行安排以实现养护资金效益最大化,其主要影响因素主要是路面使用性能和路网中的重要程度。路网中的重要程度可用养护效益来表征,项目实施后其养护效益越大,说明路段在路网中越重要,反之亦然。该文通过阅读大量的文献资料,结合工作实际,以昆明市农村公路为研究背景,从研究农村公路养护资金缺口出发,最后落脚于农村公路养护资金优化网级决策模型的构建及求解,主要作了以下几方面的工作:1)分析研究中国农村公路以及昆明市农村公路养护资金供需现状、供需预测、养护资金缺口测算,养护决策现状分析,得出昆明市农村公路养护资金在未来几年甚至长期处于缺口状态。2)将影响农村公路养护资金优化网级决策的主要因素作为资金优化网级决策模型的参数,并对模型参数进行评价、预测。农村路面使用性能评价指标体系、评价方法采用现行的评定标准;其预测方法,基于昆明市农村公路建设年代较久,基础数据少的特点,采用灰色预测模型进行路面使用性能实例预测,预测精度较高。养护效益评价包含经济效益、社会效益、环境效益三方面的内容,运用层次分析法(AHP)进行评价。3)归纳总结优化决策方法的优缺点,对比选择适合农村公路养护资金优化网级决策的方法—多目标优化决策法和粒子群优化算法。4)运用多目标优化决策法建立农村公路养护资金优化网级决策模型,分为单年度和多年度两种养护资金优化网级决策模型,采用粒子群优化算法对模型进行求解,输出结果良好、直观,方案可供农村公路养护管理部门选择。
[Abstract]:The rural highway is the "capillary" in the road network structure, is the important rural public welfare infrastructure, is the link which connects the urban and rural areas. It plays an important role in promoting the prosperity and development of rural regional economy. Because of the nature of "public welfare" of rural roads themselves, maintenance funds can only be led by the government, but the total mileage of rural roads in China is huge. The maintenance fund demand is large, the government financial fund supply is limited, the maintenance fund gap is a major bottleneck that restricts the development of the rural highway maintenance in our country. The rural highway maintenance decision has two levels: project level and network level. The decision of project level is which maintenance measures should be taken according to specific road sections. The main influencing factors are maintenance fund, technical condition of highway, traffic volume, natural factors, important degree of road network and administrative factors. The net-level decision is to arrange the whole road network in order to maximize the benefit of maintenance funds. The main influencing factors are the pavement performance and the importance of the road network. The importance of the road network can be expressed by the maintenance benefit. The greater the maintenance benefit after the implementation of the project, the more important the road section in the road network. Through reading a lot of literature and combining the actual work, taking Kunming rural highway as the research background, this paper starts from the study of rural road maintenance fund gap. In the end, it is based on the construction and solution of rural highway maintenance fund optimization network-level decision-making model. The main work of this paper is as follows: 1) analyze and study the current situation of supply and demand of rural highway maintenance fund in China and Kunming city, forecast supply and demand, estimate the gap of maintenance fund, and analyze the current situation of maintenance decision. It is concluded that Kunming rural road maintenance fund in the next few years or even long-term gap. 2) will affect the rural highway maintenance fund optimization network level decision making the main factors as the capital optimization network level decision-making model parameters. The model parameters are evaluated and forecasted. The evaluation index system of rural pavement performance and the evaluation method adopt the current evaluation standard. Based on the characteristics of long years of rural highway construction in Kunming and less basic data, the grey forecasting model is used to predict the pavement performance. The evaluation of conservation benefit includes three aspects: economic benefit, social benefit and environmental benefit. The AHP method is used to evaluate. 3) the advantages and disadvantages of the optimization decision-making method are summarized and summarized. Comparative selection of methods suitable for net-level decision making of rural highway maintenance fund optimization-Multi-objective optimization decision method and particle swarm optimization algorithm .4). The multi-objective optimization decision-making method is used to establish the net-level decision-making model of rural highway maintenance fund optimization. It is divided into two kinds of maintenance fund optimization net-level decision model in single year and multi-year. Particle swarm optimization algorithm is used to solve the model. The output result is good and intuitive. The scheme can be selected by rural highway maintenance management department.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U418.2

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