Design of Intelligent Connected Data Management System for Vehicle-road-cloud Integration

In vehicle-road-cloud integration architecture, there are many challenges to data management and collaborative management due to multi-source heterogeneous data, different levels of resource storage, and differences in calculation. This paper presents a design of an intelligent connected data management system for vehicle-road-cloud integration. The vehicle-road-cloud multimodal information fusion is studied from the three aspects, namely, the data storage collaboration, data mode collaboration, and data processing collaboration on the cloud end, road edge and device. This information exchange in and out of vehicles, between roads and road edge , and among cloud ends is smoothed, which provides an important data foundation for realizing the vehicle-road-cloud integrated perception. Finally, experimental tests verify the effectiveness and reliability of the system.