摘要
为了建立一种基于驾驶行为来判断驾驶安全性的方法,以此挖掘和显示不同驾驶行为与其驾驶安全性的关系.利用来自OBD设备获取的北京市出租车司机驾驶行为数据,通过K-Means聚类分析将驾驶人划分为3种类别:安全、一般安全、危险;采用图谱理论进行数据编码,构建了基于微观驾驶行为指标的驾驶行为特征图谱.图谱可以揭示驾驶行为内部复杂数据结构关系,实现驾驶行为变化过程的直观表达.本研究更加针对性地在安全层面上为优化驾驶行为提供参考和依据,对于减少交通事故与改善驾驶员的驾驶行为具有重要意义.
Reasonable coupling classification of safety and driving behavior is conducive to the improvement of drivers’ self-management and urban traffic problems solving. The objective of this paper is to establish a method based on driving behavior to judge the degree of driving safety,which is used to mine and display the relationship between different driving behaviors and driving safety. All the data was gathered from the Beijing taxi drivers’ driving behavior database acquired by the OBD equipment. Drivers are classified into three categories: safety,general safety and danger by K-Means clustering analysis. In this paper,the graph theory is adopted for data coding and the graph of driving behavior characteristics based on micro driving behavior indicators is established. Graphs can reveal complex data structure relationships and realize the intuitive expression of the driving behavior change process. It is of great significance to provide a reference and basis for optimizing drivers’ driving behavior in terms of safety.
作者
亓航
刘畅
伍毅平
赵晓华
QI Hang;LIU Chang;WU Yiping;ZHAO Xiaohua(The Key Laboratory of Transportation Engineering,Beijing University of Technology,Beijing 100124,China)
出处
《交通工程》
2019年第6期1-7,共7页
Journal of Transportation Engineering
基金
国家自然科学基金(NO.61672067),基于深度学习的生态驾驶行为判别模型及矫正方法研究
北京市教育委员会科技计划重点项目(NO.KZ201710005005)，基于隐性特征挖掘的个体驾驶行为管理方法研究
关键词
驾驶行为
图谱
交通安全
安全分类
行为特征
driving behavior
graph
security classification
behavior characteristic
