A State of the Art for AI Powered Digital Twins for Sustainable Smart Cities

Abstract

Digital twins offer an organic approach to metropolitan area management as cities become smart ecosystems with digitized management systems and interconnected devices. You can look at a city as a source of data and information, which is created, revised and operated in real time. So we need a managed architecture that accesses and processes live data from all types of smart physical assets within a city. Digital twin (DT) technology refers to a essential demonstration of an system throughout its life cycle. It is equipped with practical data. However, a systematic synthesis and analysis of guidelines for leveraging these DT characteristics to better govern Smart ccities still have not been documented. The possible impacts of implementation technologies based on DT in Smart cities were also studied in this study. Meanwhile, this article contributes to the Smart cities of city management study and practice with DT support. This Paper discussed about challenges of building such systems, analyze worldwide digital twin implementations with respect to their stage of development, and explore novel methods