Smart Cities Of The Future: Integrating IoT And Data Analytics For Urban Development

Abstract

This study investigates the integration of Internet of Things (IoT) and Data Analytics for urban development in Smart Cities. The research methodology encompasses a systematic analysis of diverse datasets related to Smart City initiatives, employing graphical representations to explore dataset characteristics such as size and number of parameters. Subsequent phases delve into specific applications within Smart Cities, focusing on IoT and Data Analytics domains. Visualizations illustrate the percentage distribution of IoT and Data Analytics applications across key categories, offering insights into their prevalence and potential areas for further exploration. The study also examines the impact of IoT and Data Analytics on vehicular traffic, exemplified by the intensity of traffic at various locations on the Madrid Highway. Methodological rigor is maintained through inspiration from established works in the field, ensuring a theoretical framework and foundational knowledge. The results provide a comprehensive understanding of the data landscape, technology applications, and their implications for urban development. The graphical representations contribute to evidence-based decision-making and strategic planning in the evolving landscape of Smart Cities. This research explores the integration of Internet of Things (IoT) and Data Analytics for urban development in Smart Cities. Employing a systematic methodology, the study analyses diverse datasets through graphical representations, offering insights into dataset characteristics. Visualizations depict the percentage distribution of IoT and Data Analytics applications across key urban categories, illuminating their prevalence and potential areas for exploration. The study also examines the impact of these technologies on vehicular traffic through the intensity of traffic at various locations on the Madrid Highway. Drawing inspiration from established works, the research provides a robust foundation for understanding the data-driven dynamics shaping the future of Smart Cities.