摘要
随着智能化网联化汽车的发展,车联网系统无时无刻不在产生着海量的交通数据,车路终端自身的计算能力已难以处理复杂任务,传统的集中式云计算技术已无法应对智能车联网应用中数据量大、传输延迟高、实时处理性低等瓶颈问题。车路云一体化系统以车载、路侧、云端等多源数据融合为基础,依赖车路云协同组网传输的可靠性和效率,借助云端计算和边缘计算对系统整体资源进行联合调度优化,共同实现车联网系统安全和效率的最大化。
With the development of intelligent and connected vehicles,the Internet of Vehicles(IoV)system generates massive traffic data all the time.The computing power of vehicular terminals and infrastructures is no longer able to process complex tasks.Traditional centralized cloud computing technology cannot deal with the bottleneck problems in IoV applications,such as large data volume,high transmission delay,and low real-time processing.The vehicle-road-cloud IoV system is based on the integration of multi-source device data from on-board,roadside,and cloud.Relying on the reliability and efficiency of vehicle-road-cloud collaborative networking transmission,this system applies cloud computing and edge computing to jointly schedule and optimize the overall resources to maximize the safety and efficiency of the IoV system.
作者
刘阳
张颂歌
田大新
LIU Yang;Zhang Songge;Tian Daxin(School of Transportation Science and Engineering,Beihang University,Beijing 102206)
出处
《建设科技》
2022年第1期77-80,共4页
Construction Science and Technology
关键词
车联网系统
车路云一体化
智慧城市
边缘计算
Internet of Vehicles system
vehicle-road-cloud integration
smart city
edge computing
