粗集在交通事故黑点成因分析中的应用  

Rough Set Application in the Analysis of Formulation Cause of Traffic Black-Spot

作　　者：张鹏[1] 张靖[2] 刘玉增[1] 唐雪飞[1] 

机构地区：[1]电子科技大学计算机科学与工程学院,成都610054 [2]攀枝花学院网络中心,四川攀枝花617000

出　　处：《电子科技大学学报》2007年第2期267-270,共4页Journal of University of Electronic Science and Technology of China

摘　　要：交通事故黑点的形成原因多种多样,每一个事故多发点都有其形成的最大诱因。作为交通安全管理工作的重要任务,交通事故黑点的鉴别与改善是预防交通事故发生、减少交通事故损失的有效手段。该文针对交通事故多发点成因的复杂性和多样性,提出通过粗集来对公路交通中的不利因素进行筛选,找到形成事故多发点的最大诱因,从而有针对性地进行整治,能够有效地节约时间和费用,避免不必要的人力、物力浪费。The traffic black-spot cause of formation is very complex, and every black-spot has the most important inducement for itself. The identification and improvement of black-spot, as an important task of traffic safety management, are very effect measures to reduce the traffic accident frequency. For the complexity and diversity of the black-spot cause of formation, we fred a method based on the rough set to determine the most important inducement of the black-spot, then we can repair the inducement in effect and save more time and money.

关 键 词：决策表 知识库 粗集 交通黑点 

分 类 号：TP331[自动化与计算机技术—计算机系统结构]