基于熵权的路面状况评价属性识别模型  

Attribute Recognition Model of Evaluation for Pavement Condition Based on Entropy

作　　者：杨尚阳[1] 张龙云[2] 刘婷婷[3] 

机构地区：[1]山东交通学院数理系,济南250023 [2]山东大学土建与水利学院,济南250061 [3]济宁市公路管理局设计院,山东济宁272100

出　　处：《交通运输系统工程与信息》2008年第1期103-107,共5页Journal of Transportation Systems Engineering and Information Technology

摘　　要：道路是城市的主要基础设施,正确、及时地对道路的路面状况作出评价,对保持交通畅通、确保交通安全、减少交通事故、充分发挥道路设施功能和效益等具有十分重要的现实意义.基于属性识别理论能对事物进行有效识别和比较分析的原理,建立了路面状况评价的属性识别模型,并运用熵值法确定指标权重,避免了定权的主观随意性,提高了评价模型的可信度.将该模型应用于路面状况的实例评价中,为路面状况评价提供了一种简单、适用的评价方法.Roadway is the primary foundation establishment of a city. Exact and timely evaluation for pavement condition plays an important role in keeping traffic flowing and safe, reducing accident, and bringing into play the establish function of roadways. Base on the attribute recognition theory which makes effect identification and analysis for things, the attribute recognition model of evaluation for pavement condition is discussed, and the power weight is developed with the entropy method, which avoids the subjectivity and increases the reliability. This model introduced a simple and effective appraisal method of road pavement condition.

关 键 词：路面状况 属性识别模型 熵值法 评价 

分 类 号：U416[交通运输工程—道路与铁道工程]