摘要
营运车辆交通事故高发多发,营运车辆的驾驶员随之变成受重点关注的一类驾驶员群体。研究其驾驶行为,从中寻找驾驶行为具有危险性高的驾驶员,对提升道路交通安全、保障群众生命财产安全有着重要意义。在分析营运车辆北斗数据的基础上,通过因子分析提取反映驾驶员行为的特征参数,筛选特定车辆样本,通过聚类完成营运车辆驾驶行为危险程度分级,探究高速公路重点营运车辆的驾驶行为规律,及时确定具有驾驶危险性的车辆。
Traffic accidents of operating vehicles occur frequently,so the drivers of operating vehicles become a kind of driver group that is paid close attention to.It is of great significance to improve road traffic safety and protect people’s life and property safety to study their driving behaviors and find drivers with high risk.Based on the analysis of operating vehicles,on the basis of Beidou data,through the factor analysis reflects the characteristics of the driver behavior parameters,screening of specific vehicle samples,complete operating vehicles driving through clustering dangerous degree classification,explore the highway major operating vehicle driving behavior rule,timely identify dangerous driving vehicles.
作者
许静雯
朱丹
董军
张朝晖
张浩
骆志辉
赵建东
XU Jingwen;ZHU Dan;DONG Jun;ZHANG Zhaohui;ZHANG Hao;LUO Zhihui;ZHAO Jiandong(School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China;Operation Branch of Guangzhou Expressway Co.,Ltd,Guangzhou Guangdong 511385,China)
出处
《交通节能与环保》
2020年第6期36-38,共3页
Transport Energy Conservation & Environmental Protection
基金
广州交投集团科技项目(ALX-SGYY-2019-003)。
关键词
营运车辆
北斗数据
因子分析
聚类分析
commercial vehicles
Beidou data
factor anylasis
cluster analysis