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公路沥青路面预养护多层次模糊决策模型
  • ISSN号:1002-0268
  • 期刊名称:《公路交通科技》
  • 时间:0
  • 分类:U418.6[交通运输工程—道路与铁道工程]
  • 作者机构:[1]同济大学道路与交通工程教育部重点实验室,上海201804
  • 相关基金:上海市市政工程管理局科技发展基金资助项目(2003-01-21)
中文摘要:

为解决多因素影响下公路沥青路面预养护对策选择问题,在全面分析各项影响因素和技术对策特点的基础上,综合应用层次分析法、专家打分法和模糊数学理论,建立了预养护对策多层次模糊决策模型:首先确立决策指标的层次结构,通过层次分析法确定了准则层和指标层各个因素的权重赋值;采用专家打分法,建立了方案层个体评判指标的特征矩阵,由模糊数学运算得到各个方案的综合排序,以此确定最佳预养护措施。所建立的决策模型综合考虑了预养护对策的技术、经济和环境等因素的影响,通过层次划分与模糊运算,将定性指标量化,从而具有较高的准确性。结合上海市浦星公路预养护工程进行的实例研究证明了该模型的合理性与有效性。研究成果可为沥青路面预养护决策提供科学的依据。

英文摘要:

The decision making method for selecting pavement preventive maintenance (PPM) treatment need to consider multiple factors such as cost, use life and influence caused by construction.Using analytic hierarchy theory, Delfei method and fuzzy mathematics, a innovative model of multi-hierarchy fuzzy decision was established based on analyzing factors which affect selecting PPM treatment of highway asphalt pavement.The hierarchy of decision-making index system was put forward firstly, and then the weight of each indicator in rule layer and index layer was assigned by using the analytic hierarchy process. The character matrix of judgment indices for project layer was set up by using Delfei method subsequently. The optimal preventive maintenance treatment was determined by the aid of the synthetically order of scenarios calculated by the fuzzy mathematics. The factors of technique, economy and environment were integrated into the model by quantifying qualitative factors, so comparing to conventional method, it has distinguished veracity. A case study was done and the rationality and availabihty of the model was also demonstrated. The result provides decision makers with a scientific support in their decision-making.

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期刊信息
  • 《公路交通科技:应用技术版》
  • 北大核心期刊(2011版)
  • 主管单位:中华人民共和国交通运输部
  • 主办单位:交通部公路科学研究院
  • 主编:陈国靖
  • 地址:北京市海淀区西土城路8号
  • 邮编:100088
  • 邮箱:tec@rioh.cn
  • 电话:010-62079557
  • 国际标准刊号:ISSN:1002-0268
  • 国内统一刊号:ISSN:11-2279/U
  • 邮发代号:
  • 获奖情况:
  • 国内外数据库收录:
  • 中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:9097