摘要
卡车司机的驾驶风格表征着其根据实时行车环境对矿车的运行控制所采取的一系列操作行为。对于矿用卡车安全性与经济性有较大影响。为提高驾驶风格聚类算法的适用性,并直观表达聚类效果,提出基于层次聚类的驾驶风格识别方法,结合实际采集的现场不同驾驶员的驾驶行为数据,进行驾驶风格识别。结果表明将驾驶风格分成3类的分类结果较为明显,且适合矿用卡车的驾驶风格识别。
The driving style of a truck driver represents a series of operation behaviors taken by the driver to control the operation of the vehicle according to the real-time driving environment.This has a greater impact on the safety and economy of mining trucks.In order to improve the applicability of the driving style clustering algorithm and express the clustering effect intuitively,I propose a driving style recognition method based on hierarchical clustering,combining the actual collected driving behavior data of diff erent drivers on-site to identify the driving style.The results show that the classification results of dividing the driving style into three categories are more obvious,and it is suitable for the driving style recognition of mining trucks.
作者
胡浈
张瑞新
刘鑫
冯读康
张秋涵
HU Zhen;ZHANG Ruixin;LIU Xin;FENG Dukang;ZHANG Qiuhan(School of Safety Engineering,North China Institute of Science and Technology,Beijing 065201)
出处
《软件》
2021年第3期19-21,64,共4页
Software
基金
国家重点研发计划(No.2018YFC0808306)
河北省物联网监控工程技术研究中心项目(No.3142018055)。
关键词
卡车司机
驾驶风格
矿用卡车
层次聚类
truck driver
driving style
mining truck
hierarchical clustering
