IoT Assisted Novel Anti-Collision Warning System for Indian Heavy Commercial Vehicles

India’s heavy commercial vehicle (HCV) sector faces significant challenges in ensuring road safety, with frequent accidents caused by mixed traffic conditions, unpredictable driver behavior, and inadequate infrastructure. This paper presents an IoT-assisted anti-collision warning system specifically designed for Indian HCVs to mitigate these issues. The proposed system integrates cost-effective hardware, including ultrasonic sensors, cameras, and Vehicle-toVehicle (V2V) communication modules, with advanced predictive algorithms to deliver real-time collision alerts. A detailed cost-benefit analysis demonstrates the system’s economic viability, with reduced accident-related costs, improved fuel efficiency, and enhanced fleet management capabilities. Scalability and adaptability are ensured through centralized cloud-based data management and machine learning models optimized for India’s dynamic road environments. The system also aligns with India’s evolving smart city infrastructure, paving the way for future integration with autonomous vehicle technologies. This innovative solution provides a transformative approach to improving road safety, operational efficiency, and sustainability in the Indian HCV sector.