New Design Ideas

This study explores the intersection of Artificial Intelligence (AI), the Internet of Things (IoT) and sustainable urban planning within the evolving framework of smart cities. Focusing on the case of Baku, Azerbaijan, the research investigates how AIoT technologies can be applied to enhance urban mobility, environmental monitoring and energy efficiency. Employing an experimental mixed-method approach, the study combines systematic literature review with pilot simulations using real-time urban data from the Baku Transport Agency and environmental monitoring stations. Key components of the research include AI-based traffic prediction using Random Forest and LSTM algorithms, IoT sensor deployment for real-time data collection at intersections and public transport nodes and adaptive street lighting simulations for energy conservation. The results indicate notable improvements across performance indicators: traffic congestion reduced by up to 40%, energy usage decreased by 35-45% and air quality improved by 20-25%. Graphical and statistical analyses further validate these outcomes. The study contributes to the growing body of literature on smart urbanism by providing a practical, context-specific framework for implementing AI and IoT in city design. It also highlights ethical considerations and potential limitations in real-world deployment, such as data governance and digital inequality. The findings suggest that well-integrated AIoT systems can significantly support sustainable development goals and serve as a replicable model for other developing urban centers.