SMART ROADS AHEAD: IOT-POWERED VEHICLE COLLISION AVOIDANCE FOR SAFER MOBILITY

Abstract

As the global demand for safer and smarter transportation systems increases, integrating Internet of Things (IoT) technologies into vehicular safety mechanisms has emerged as a transformative solution. This paper explores the development and implementation of an IoT-based vehicle collision avoidance system aimed at reducing road accidents and enhancing mobility. Leveraging real-time data exchange between vehicles (V2V), infrastructure (V2I), and cloud platforms, the proposed system employs sensors, GPS, and communication modules to detect potential collisions and initiate preventive measures such as alerts or autonomous braking. The system not only enhances driver awareness but also contributes to the broader framework of intelligent transportation systems (ITS). Key innovations include low-latency data transmission, predictive analytics using sensor fusion, and adaptive learning for dynamic traffic environments. The paper further discusses the challenges in deployment, such as network reliability, data privacy, and interoperability, and suggests pathways for future research and large-scale implementation. The integration of IoT into road safety marks a pivotal step toward accident-free mobility, setting the foundation for fully autonomous and cooperative driving ecosystems.