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The ability of edge computing determines the effectiveness of the cooperative vehicle-infrastructure system to improve traffic safety, efficiency and capacity, enabling traditional information release method have backstage processing and distribution. It is converted to vehicle, road and backstage after being processed by edge computing algorithm. Vehicles are timely and effectively controlled and induced. Based on the full analysis of the development status at home and abroad and the analysis of actual engineering needs, this paper proposes the composition of the cooperative vehicle-infrastructure system and the main factors affecting edge computing, studies the existing edge computing methods, and finally combines the current smart highway demonstration projects. The actual needs put forward the cooperative vehicle-infrastructure use case research based on edge computing. The use case analysis has significant guiding role for the design, R&D and engineering implementation of the smart highway cooperative vehicle-infrastructure system in China.

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