Edge computing system for urban road C-V2X network

Abstract

The invention discloses an edge computing system for an urban road C-V2X network, and the system comprises three levels, namely a vehicle side MEC unit, a road side MEC unit and a base station MEC unit, and a distributed resource distribution and scheduling strategy. The three levels collaboratively realize the edge calculation functions of traffic target detection and identification, traffic event discovery and prediction, traffic scene fusion analysis and processing, local traffic situation comprehensive perception, assistance and automatic driving decision making for the urban road C-V2X network. The edge computing system provided by the invention can clearly divide and accurately meet functional requirements of C-V2X network operation on the edge computing unit in an urban road traffic environment, and is beneficial to reasonable allocation and scheduling of computing power, storage, network and application resources of edge computing equipment in vehicles, roads and edge ends; the capability of edge calculation in improving safety, efficiency and service quality of road traffic intelligent network connection application is exerted to the maximum extent, and a foundation is laid for realizing a perception, calculation and communication integrated vehicle-road cooperation system in the future.

Description

technical field [0001] The invention relates to the fields of edge computing, Internet of Vehicles and vehicle-road collaboration, and in particular to an edge computing system oriented to urban road C-V2X networks. Background technique [0002] All over the world, urban road traffic is suffering from chronic problems such as traffic congestion and frequent accidents. The number of motor vehicles is increasing rapidly year by year, and it has been proved that it has its limitations to alleviate traffic problems simply by increasing road supply. The comprehensive utilization of modern communication, perception, computing, network switching, new energy vehicles, autonomous driving, big data and other technologies in intelligent transportation can be used as an effective supplement to solve this problem. Relying on the blessing of high technology, vehicles are becoming more and more "Smart", the road is becoming more and more "smart". [0003] Edge computing has received wide...

AI Technical Summary

Problems solved by technology

Communication equipment manufacturers, IT manufacturers, operators, car manufacturers, solution providers, etc. have launched different edge computing systems based on their own industry advantages. These systems have their own characteristics, but in terms of understanding of transportation services and targeted design , there is still a lack of a set of intelligent transportation-specific edge computing systems with clear hierarchical design, reasonable function division, and strong scene orientation

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