A Hierarchical Decision Architecture for Network-Assisted Automatic Driving

Automatic driving is promoted to improve traffic safety and efficiency. Usually automatic driving technology depends on vehicle's own function, such as high automation environmental perception, decision algorithm and automotive control. The automatic driving vehicles with communication network assisted can gather more environmental information, especially on some extreme bad environment. The 5G can ensure the low latency and high reliability for automatic driving. Besides the internet can help energy conservation for connected vehicles. In this paper, we propose a new hierarchical decision architecture for network-assisted automatic driving. The overall communication architecture is divided into terminal layer, regional control layer and urban cooperative control layer, which represent connected vehicles with intelligent photovoltaic highway, convergence layer of base stations and core network respectively. The effectiveness of the proposed scheme is validated by analysis.