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.
No takes yet. Share an insight, caveat, or question.
Lei et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: