汽车大数据应用模式与挑战分析

Application Mode and Challenges of Vehicular Big Data

随着车联网技术的不断演进,人、车、路、云全方位连接,催生出了大量应用服务,覆盖汽车生产制造、汽车产品网联化、汽车后服务、智能出行服务等多个环节。这些应用的核心是海量的汽车联网数据。对汽车大数据的有效利用可能成为未来汽车产业转型升级的重要突破口。为了推进车联网场景下汽车大数据的应用,文中对相关工作进行了综述。从汽车大数据的内涵与架构出发,对汽车大数据的数据源及相关应用进行了详细分析,介绍了汽车大数据支撑的各类应用,包括汽车产业类应用、网联类应用和后市场服务类应用,从数据采集、数据处理与分析、计算资源、隐私保护4个方面分析了汽车大数据的关键技术,并从政策法规和技术两个层面加以探讨,分析其发展现状,并展望未来的应用趋势。

With the technical evolution of connected vehicles,people-vehicle-road-cloud are all connected,and a large number of application services emerge which cover many parts such as manufacturing,connected vehicle products,vehicle service market and intelligenttravel service.The core of these applications is big data of vehicles.The effective utilization of vehicular big data may be an important breakthrough in the transformation and upgrading of automotive industry in the future.To promote the application of vehicular big data in connected vehicles,related works are reviewed in this paper.According to the application demands,this paper starts from the connotation and architecture of vehicular big data,and analyzes the characteristic of data sources and corresponding applications,such as manufacturing,connected vehicle products and vehicle service market,etc.Then the key technologies of vehicular big data are discussed from four aspects,which are data collection,data processing and analysis,computing resource and privacy protection.Based on a comprehensive analysis fits development status of policy and technology,this paper anticipates the future application trend of vehicular big data.