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The research and development technology field of 5G vehicle networking traffic safety mechanism project is a new information technology industry supported by the state. Artificial intelligence, vehicle networking, and intelligent transportation are the core areas of China's "national 2025 manufacturing" strategy[1]. Safety early warning mechanism plays a very important role in preventing vehicle collision accidents and improving road traffic safety. By studying the anti-collision system and safety early warning system of networked vehicles at home and abroad, focusing on the collision problem of vehicles at traffic crossings, this study proposes a vehicle collision early warning algorithm based on trajectory prediction, and establishes vehicle trajectory models, including straight-line driving trajectory model and turn-around driving trajectory model respectively[2,3]. The time and position of the collision are calculated and the threshold is set to issue the collision warning. The Matilab experiment simulation is used to evaluate the algorithm, and a visual and auditory integrated vehicle network safety warning system is designed combined with the driver characteristics and warning results.
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