An Intelligent Security Classification Model of Driver’s Driving Behavior Based on V2X in IoT Networks

Traffic accidents occur frequently in Internet of Things (IoT) safety system. are largely caused by drivers’ unsafe driving behaviors the process driving. Aiming at problem low real-time warning driving, this paper proposes a model to detect driver behavior. Firstly, according target detection for positioning, combined with Pose Estimation identify variety behaviors, same time, rating is built score behaviors. Then, integrating behavior and evaluation rules, system can give timely active when makes Finally, V2X scenario, feedback presentation given users form points. The experimental results show that, scenario vehicles, well analyze evaluate so that drivers more accurately understand their abnormal scores, which plays significant role IoT management.