基于多维模糊关联规则的道路交通阻断分析方法  

Research into Traffic Blocking Analysis Based on Multi-Dimensional Fuzzy Association Rule Algorithm

作　　者：贺琳[1] 陈燕[1] 

机构地区：[1]大连海事大学交通运输管理学院,辽宁大连116026

出　　处：《运筹与管理》2014年第3期176-182,共7页Operations Research and Management Science

基　　金：国家自然科学基金项目(70940008);中央高校基本科研业务费专项基金(3132013074;3132013319);教育部人文社会科学研究青年基金(13YJCZH052)

摘　　要：交通阻断成因复杂,与气象环境、道路线形、车辆状态以及交通环境等多因素相关。由于缺乏对造成交通阻断相关因素间潜在关联的研究,交通阻断管控一直是公路管理,特别是高速公路管理的难点。本文提出了一种基于多维模糊关联规则的道路交通阻断分析方法,发掘交通阻断的潜在规律和各因素间的关联关系。首先在国家现有相关划分体系和大量交通阻断(事件)案例的基础上,根据道路管理实际需求,建立了交通阻断多维属性模型,然后利用基于FCM的模糊关联规则,挖掘阻断因素的多维属性的依存关系,得到面向道路交通阻断分析的多维模糊关联规则。通过研究成果的实践应用,证明关联规则可以为道路交通阻断预防和管理提供有效支持,在道路交通阻断分析领域有着良好的应用前景。Traffic blocking is a complicated event that is caused by mutiple factors including meteorological enviromental,road alignment,vehicle status and traffic conditions. As there＇s a deficiency of research on relevance among these factors,the prevention and control of traffic blocking events have been the difficult issue of road management,especially freeway management. To find out the potential rules and relevance among these factors,this paper proposes a traffic blocking analysis method based on multi-dimensional fuzzy association rules algorithm. In accordance with the need of freeway management,a multi-dimensional attribute model is defined to describe traffic blocking events,based on the relevant national division system and a large number of traffic blocking cases. Then a fuzzy traffic blocking association rules algorithm based on the FCM is set up to mine the potential rules. The practical application of the research proves that the algorithm can effectively support the prevention and management of traffic blocking and thus has bright prospects in traffic blocking analysis.

关 键 词：交通阻断 模糊关联规则 属性模型 模糊聚类 

分 类 号：U491.31[交通运输工程—交通运输规划与管理] G202[交通运输工程—道路与铁道工程]