Data Analysis of Roadway Attributes Influences upon Speed of Small Car on Mountain Highway through Clustering Algorithm

摘要：

On mountain highways,excessive speeding appears to be the major factor that causes fatal traffic accidents.In order to find out the most significant attributes that affects the vehicle speed so that countermeasures could be applied.Therefore,based on the actual traffic data collected from black spots in four provinces of southwestern China;this paper investigated the significant roadway attributes that influence the speed of small cars on mountain highways through Two step clustering algorithm,which is capable of clustering both categorical and continuous attributes.Through experiments,it shows that material of roadway and presence of protective facilities at roadside are two major attributes that affect the vehicle speed;furthermore,material of roadway contributes relatively more on affecting vehicle speed.

关键词： Clustering algorithm traffic data mining vehicle speed roadway attributes

作者: Kun Qian Xiaoping Du Weiguo Li Huamei Sun Cuiying Li Dezao Hou

作者单位: Key Laboratory of Road Safety Technologies,Ministry of Communications,P.R.China Beihang University.B Beihang University.Beijing,P.R.China Key Laboratory of Road Safety Technologies,Ministry of Communications,P.R.China

会议类型: 国际会议

会议名称: 2010 2nd IEEE International Conference on Information and Financial Engineering(2010年第二届IEEE信息与金融工程国际会议 ICIFE 2010)

会议地点: 重庆

会议语种:英文

页码: 680-684

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）