Smart IoT-Based Collision Prediction and Alert System for Safer Traffic

Road traffic collisions are a major public safety concern, causing significant loss of life, injuries, and economic damage. With the rapid advancement of Internet of Things (IoT) and intelligent transportation systems, proactive accident prevention has become feasible. This paper presents a smart IoT-based collision prediction and alert system designed to identify potential collision risks and provide real-time warnings to drivers or autonomous systems. The proposed system utilizes vehicular sensor data, Global Positioning System (GPS) information, environmental conditions, and machine learning models to analyze vehicle behavior and detect abnormal patterns that may lead to accidents. Wireless communication and cloud-based processing enable timely dissemination of alerts to prevent collisions. Simulation and prototype results demonstrate that the system effectively reduces collision risk through early detection and real-time warnings, thereby supporting safer and more sustainable transportation systems