大数据在汽车领域的创新应用分析  

Analysis of innovative applications of Big Data in the automotive sector

作　　者：刘作书 孙璐 韩金雨 Liu Zuoshu;Sun Lu;Han Jinyu(FAW-Volkswagen Automotive Co.,Ltd.,Changchun 130011,China)

机构地区：[1]一汽-大众汽车有限公司,吉林长春130011

出　　处：《汽车知识》2024年第12期251-253,共3页AUTOMOTIVE KNOWLEDGE

摘　　要：车辆数据作为实现汽车智能化和网联化的基础要素,其在汽车领域的创新应用正不断驱动汽车产业转型升级。虽然车辆在行驶过程中产生大量的数据资源,但车联网数据创新成果和示范推广还不显著,如何利用数据在用户授权的前提下去服务用户以及提升用户满意度仍需要探索。在此背景下,本文针对大数据在汽车领域的应用进行了探讨。Vehicle data,as a basic element for realizing automotive intelligence and networking,and its innovative application in the automotive field are continuously driving the transformation and upgrading of the automotive industry.Although the vehicle generates a large amount of data resources in the process of driving,the innovative results and demonstration and promotion of vehicle networking data are not yet significant,and how to use the data to serve the users as well as to improve user satisfaction under the premise of user authorization still needs to be explored.In this context,this paper addresses the application of big data in the automotive field.

关 键 词：大数据应用 汽车领域 智能网联 

分 类 号：U495[交通运输工程—交通运输规划与管理]