Key points are not available for this paper at this time.
Recently, the smart city has evolved as a global model and several institutions have adopted this concept to facilitate the citizens with the comfort and quality of life exploiting the progress in the capabilities of computing, networking, and data management. All probable aspects of a smart city are modeled as different components such as governance, transportation, waste and energy management, and so on. Artificial Intelligence (AI) based technology is widely applied in the development of most of the components of a smart city. In this context, the current article presents a detailed survey of the latest AI-based solutions in smart city implementation. The following inferences are made through this review: (a) AI-based applications for a smart city have been adopted by various developing and developed countries worldwide. (b) The components such as town planning, governance, and education are less explored as compared to other components. (c) Network-based models including deep learning models are the most popular as compared to other models like trees, genetic, linear, and naive models. Finally, it is observed from the review that AI is an indispensable part of a smart city currently and will continue to be in the future.
Ashwini et al. (Wed,) studied this question.