FURI | Spring 2025

AI- and IoT-Driven Traffic Management for Urban Congestion Reduction

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This research explores the development of an Intelligent Traffic Management System (ITMS) leveraging artificial intelligence (AI) and the Internet of Things (IoT) to optimize urban traffic flow in real time. By collecting data from IoT sensors and employing AI-driven predictive modeling, the system will dynamically adjust traffic signals and routing. The objective is to reduce congestion, lower fuel consumption, and decrease emissions, thereby enhancing sustainability and public safety. This scalable approach aims to transform urban environments by providing more efficient and eco-friendly transportation solutions.