基于谱系聚类的公路运输驾驶行为研究  

Road Transportation Driving Behavior Based on Pedigree Cluster

作　　者：李月明[1] 郑贵省[2] 车亚辉 王鹏[1] 

机构地区：[1]军事交通学院研究生管理大队,天津300161 [2]军事交通学院基础部,天津300161

出　　处：《军事交通学院学报》2016年第10期92-95,共4页Journal of Military Transportation University

摘　　要：为规范驾驶行为、提高公路运输安全水平,对公路运输事故中车辆的驾驶行为及其诱因之间的关系进行研究。基于谱系聚类法并结合相关数学软件对驾驶行为进行聚类分析,并以2010—2012年道路交通事故统计数据为例进行实例验证,对引起交通事故的驾驶行为给出聚类图谱。研究结果表明:各种不规范的驾驶行为是引起交通事故的重要原因,通过聚类分析能够对引发交通事故的不规范驾驶行为进行识别,为规范驾驶行为提供重要依据。To regularize driving behavior and improve road transportation safety,the paper studies the relation between driving behavior in road transportation accidents and its causes. It analyzes driving behavior with related mathematical software based on pedigree cluster and verifies it with 2010—2012 road traffic accident statistics as the example,and provides cluster map on driving behaviors caused traffic accidents. The result shows that irregular driving behaviors are the important causes for traffic accidents. Cluster analysis can identify irregular driving behaviors causing traffic accidents,which can provide important basis for regulating driving behaviors.

关 键 词：谱系聚类 公路运输 驾驶行为 

分 类 号：U471.1[机械工程—车辆工程]