Decentralized Edge-AI and Blockchain Framework for Intelligent Traffic Management

Abstract

The advent of new era transportation systems is creating large volumes of real time data which requires smart management. This is possible with the amalgamation of connected vehicles, autonomous-movement, and smart-infrastructure This research presents a decentralized smart traffic management system that combines connected vehicles, autonomous mobility, and smart infrastructure. By integrating AI, edge computing, Blockchain, and multi-agent system, the framework enables real-time, secure, and adaptive traffic coordination. It supports decentralized Decisions-making, predictive traffic analysis, and secure data sharing among vehicles, signal, and infrastructure. Overall, the study highlights how modern technologies can work together to improve traffic efficiency, safety, scalability, paving the way for intelligent and secure future transportation system.