Comprehensive Emergency Vehicle Signaling Through 5G-Enhanced V2X Technologies

Emergency vehicles (EVs) frequently experience delays in metropolitan settings because of traffic jams and ineffective traffic infrastructure. A consistent framework for dynamic EV priority is lacking in present systems, despite the fact that V2X technologies like DSRC and 5G allow real-time communication. A clever V2X-based traffic management system that combines sophisticated communication, sensor fusion, and AI-driven decision-making is proposed in this research. In order to identify abnormal vehicle motions and improve situational awareness, the system analyses data from the gyroscope, accelerometer, jerk, and yaw rate. Predictive safety elements that encourage proactive collision avoidance include Time to Collision (TTC) and Deceleration Rate. Additional safety layers include CAN Bus data, RSU monitoring, and rapid speed change detection. With the help of WebRTC and FFmpeg streaming on IP cameras and CBAM for low-latency data exchange, real-time perception is accomplished. Features like C-V2X-powered Lane Change Assist, Turn Assist, and Crash Prevention guarantee safe EV driving. By improving response times and road safety, this integrated system promotes intelligent urban transportation.