人-机-网融合的新型车联网体系架构与关键技术

A Novel Architecture and Key Technologies for Internet of Vehicles with Human-Machine-Network Integration

高可靠、低时延以及更好的通信性能不是未来车联网技术演进的唯一目标。为了增强驾驶人体验,最大化乘客舒适度,满足车联网用户更深层次的智能通信需求,需要实现人(驾驶人、乘客、用户)-机(智能车)-网(车联网)的无缝连接与融合。为此,提出一种人-机-网融合的新型车联网体系架构,通过人工智能技术,将人的行为与意识特征映射到网络中,实现人与机、人与网络的无缝连接与双向适配,进一步给出和分析人-机-网融合的新型车联网关键理论与技术。

High reliability,low latency and better communication performance are not the only evolution goals for the future Internet of Vehicles(IoV).In order to enhance the driver experience,maximize passenger comfort,and meet the deep requirement of intelligent communications for IoV users,it is necessary to realize the seamless connection and integration of human(driver,passenger,user)-machine(intelligent vehicle)-network(IoV).Therefore,this article proposes a novel IoV architecture with the human-machine-network integration.Through artificial intelligence technologies,the characteristics of human behavior and consciousness are mapped to the network to realize the seamless connection and two-way adaptation for human-to-machine and human-to-network.Then,the key technologies of the novel IoV architecture with user-machine-network integration are further presented and analyzed.