[1]李 熙,冯 拔,谢勇波,等.基于决策树的司机驾驶行为研究[J].控制与信息技术(原大功率变流技术),2019,(05):17-20.[doi:10.13889/j.issn.2096-5427.2019.05.004]
 LI Xi,FENG Ba,XIE Yongbo,et al.Research on Driver Driving Behavior Based on Decision Tree[J].High Power Converter Technology,2019,(05):17-20.[doi:10.13889/j.issn.2096-5427.2019.05.004]
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基于决策树的司机驾驶行为研究()
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《控制与信息技术》(原《大功率变流技术》)[ISSN:2095-3631/CN:43-1486/U]

卷:
期数:
2019年05期
页码:
17-20
栏目:
控制理论与应用
出版日期:
2019-10-05

文章信息/Info

Title:
Research on Driver Driving Behavior Based on Decision Tree
文章编号:
2096-5427(2019)05-0017-04
作者:
李 熙冯 拔谢勇波王文明
(湖南中车时代电动汽车股份有限公司湘江新区分公司,湖南 长沙 410083)
Author(s):
LI Xi FENG Ba XIE Yongbo WANG Wenming
( Xiangjiang New Area Branch Office, Hunan CRRC Times Electric Vehicle Co., Ltd., Changsha, Hunan 410083, China )
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
Keywords:
new energy vehicle driving behavior C4.5 decision tree algorithm grey correlation analysis energy consumption
分类号:
TG335
DOI:
10.13889/j.issn.2096-5427.2019.05.004
文献标志码:
A
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。
Abstract:
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.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2019-08-07
作者简介:李熙(1988—),男,硕士,工程师,主要从事新能源汽车软件开发及故障预测方面的研究工作。
基金项目:国家重点研发计划(2017YFB0102300)
更新日期/Last Update: 2019-10-23