V2V Collision Avoidance and Automatic Braking System based on IoT

The steady increase in vehicular traffic has led to a rise rear-view cameras, and braking assistance, have improved personal safety, but they operate autonomously and are limited by line-of-sight. The present system helps to provide early warnings occurring out of the driver's vision, particularly in heavy traffic regions. Many vehicle-to-vehicle (V2V) communication solutions have surfaced to exchange real-time information, namely speed, location, and braking status, between vehicles. When a potential collision or sudden braking event is detected, warning information is shared with nearby vehicles through an IoT communication framework, enabling early awareness beyond the sensing range of individual vehicles. Based on the received alerts, an automatic braking mechanism is activated to reduce collision risk and prevent chain accidents. The system is designed to operate without dependence on dedicated roadside infrastructure, making it suitable for cost-effective and scalable deployment. Experimental validation using a hardware prototype demonstrates improved reaction time, enhanced situational awareness, and reliable collision mitigation, demonstrating the practical feasibility of the proposed approach for future intelligent transportation and V2X systems.