道路安全等级定权聚类评价模型及因素辨析  

Road safety level evaluation based on grey fixed weight clustering model and factors analysis

作　　者：许洪国[1] 刘兆惠[1] 王超[1] 

机构地区：[1]吉林大学交通学院,吉林长春130022

出　　处：《交通运输工程学报》2007年第2期94-98,共5页Journal of Traffic and Transportation Engineering

基　　金：吉林省交通科技发展计划项目(3L1057832417)

摘　　要：为衡量区域内高等级公路的整体交通安全水平,辨析道路因素对交通安全的影响程度,综合运用灰类白化权函数聚类理论、模糊一致性理论及层次分析法,提出了一种系统评价道路安全性的新方法,通过灰色定权聚类对区域内高等级公路分类,采用模糊一致性矩阵确定聚类权,运用AHP分析道路因素重要度。算例分析结果显示公路5属于低安全等级灰类,层次总排序结果表明平纵线形组合、隔离防护设施、视距和混流程度4项道路因素是导致其安全等级低的主要原因。这说明该方法可客观划分高等级公路安全级别,并对影响交通安全的各项因素按照重要度进行排序,实现了道路交通安全性的系统评价。In order to determine the holistic traffic safety levels of higher-class highways in a district, and distinguish the influence degrees of road factors on traffic safety, grey clustering theory of whitenization weight function, fuzzy theory and analytic hierarchy process（AHP） were studied, a new synthesized method for evaluating road safety level was put forward. Higher-class highways in a district were categorized into several safety grades by utilizing grey fixed weight clustering. The weight of each clustering criterion was determined by adopting fuzzy consistency matrix. Main road factors that influenced traffic safety were quantificationally analyzed by using AHP. Analysis result of an example shows that highway No. 5 belongs to the grey group of low safety grade, its namely alignment combination, safeguard facilities, sight distance and mixed degree are main reasons to result in the low safety grade. Which indicates that the method can objectively compartmentalize the traffic safety levels of higher-class highways, give a reasonable order of the factors that affected traffic safety, and realize the systematic evaluation of road traffic safety. 7 tabs, 2 figs, 12 refs.

关 键 词：交通安全 高等级公路 灰色聚类 模糊一致矩阵 层次分析法 安全评价 

分 类 号：U491[交通运输工程—交通运输规划与管理]