IoT and AI-Driven Framework for Real-Time Accident and Traffic Management

This paper proposes an IoT and AI-driven intelligent framework for real-time accident detection and traffic management. The proposed system integrates IoT sensors, cameras, and AI-based machine learning algorithms to detect road accidents, analyze traffic conditions, and provide immediate alerts to emergency services and traffic authorities. The framework aims to reduce emergency response time, improve traffic flow, enhance road safety, and support smart city transportation through real-time decision-making and predictive analytics.