摘要
司机驾驶行为是影响车辆能耗的重要因素之一。为准确分析司机驾驶行为,文章首先利用灰色关联分析对驾驶行为参数进行关联性分析,用于提高模型的性能;然后结合C4.5决策树算法,建立司机驾驶行为模型,并运用实际运营数据进行训练和测试。结果表明,利用该模型能够准确地分析司机驾驶行为,为驾驶行为分析提供有效依据。
Driver driving behavior is one of the important factors affecting energy consumption of vehicle.In order to accurately analyze driving behavior of a driver,correlation analysis of driving behavior parameters through grey correlation analysis was made,and then a driver driving behavior model was established combined with C4.5 decision tree algorithm.Finally,actual operation data were used to train and test.The results show that with the model the driving behavior of a driver can be accurately analyzed and this can provide an effective basis for driving behavior analyzing.
作者
李熙
冯拔
谢勇波
王文明
LI Xi;FENG Ba;XIE Yongbo;WANG Wenming(Xiangjiang New Area Branch Office,Hunan CRRC Times Electric Vehicle Co.,Ltd.,Changsha,Hunan 410083,China)
出处
《控制与信息技术》
2019年第5期17-20,26,共5页
CONTROL AND INFORMATION TECHNOLOGY
基金
国家重点研发计划(2017YFB0102300)
关键词
新能源客车
驾驶行为
C4.5决策树算法
灰色关联分析
能耗
new energy vehicle
driving behavior
C4.5 decision tree algorithm
grey correlation analysis
energy consumption
