摘要
当前,车联网大数据驱使着智能汽车的发展,基于车联网大数据分析用户驾驶行为已成为必然趋势,但直接分析底层数据是非常困难的,需结合用户驾驶过程来分析。基于此目的,本课题提出一种基于车联网大数据的纯电动汽车行程识别算法,来实现对整车数据的聚合。
At present,the big data of the Internet of vehicles drives the development of intelligent vehicles.It has become an inevitable trend to analyze users driving behavior based on the big data of the Internet of vehicles.However,it is very difficult to directly analyze the underlying data,which needs to be analyzed in combination with the user's driving process.For this purpose,this topic proposes a pure electric vehicle travel recognition algorithm based on the big data of the Internet of vehicles to realize the aggregation of vehicle data.
作者
卓丽
张亮
程登
黎飞
谢燕芳
ZHUO Li;ZHANG Liang;CHENG Deng;LI Fei;XIE Yan-fang(SAIC GM Wuling Automobile Co.,Ltd.,Guangxi Laboratory of New Energy Automobile,Guangxi Key Laboratory of Automobile Four New Features,Liuzhou 545007,China)
出处
《汽车电器》
2023年第8期5-7,共3页
Auto Electric Parts
关键词
车联网
汽车
大数据
行程识别
vehicle networking
automobile
big data
travel identification
