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With the acceleration of social development and industrialization, the problems of traffic efficiency due to road congestion, traffic safety due to unregulated driving, and environmental pollution due to increased carbon emissions are all becoming more and more serious. With the development of 5th generation mobile communication technology (5G), a cellular-vehicle- to-everything (C-V2X) technology can be used, C-V2X) technology can provide vehicles with long-distance and wide-range wireless network communication. With the development of machine learning and high-precision mapping technologies, L4 (SAE International's definition of autonomous driving technology classification) autonomous driving technology allows vehicles to be driverless in certain environments and under certain conditions. both C-V2X and autonomous driving technologies offer fruitful solutions to reduce road congestion, erratic driving, and carbon emissions from vehicle emissions. C-V2X and autonomous driving technologies both provide fruitful solutions for reducing road congestion, irregular driving and reducing carbon emissions from vehicle exhausts, and also bring new ideas for improving transportation efficiency. In this paper, we propose an implementation of an intelligent transportation system based on 5G, C-V2X and L4-level autonomous driving technology. In this intelligent transportation system, the discussion focuses on the Vehicle-Vehicle-Circuit Cloud Collaboration (VVC) system applicable to the public transportation sector and the value played by the VVC system, which not only facilitates the commercialization of 5G and automated driving, but also establishes a new set of business models suitable for the current transportation industry, which is of great significance for improving transportation efficiency and reducing carbon emissions.
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