Artificially Intelligent and Sustainable Smart Cities

The ever-increasing population leads to congested cities making them difficult to manage, facilitating the need for modern approaches. The emerging concept of smart cities exceedingly encourages the use of sensors and automated systems to tackle these issues. Through sending real-time data and feedback, the extracted data can then be analyzed and processed for the sustainable socio-economic development of the cities. All this can be possible due to the introduction of Internet-of-Things (IoT) devices and complex sensors that are capable of communicating with each other creating a form of a digital environment, helping in making the cities autonomous. The emergence of big data and advanced machine learning techniques can detect anomalies and alterations that are otherwise not possible with the human eye. Today the machine learning models are becoming non-deterministic and can grow with time. A smart city is a collection of basic amenities provided in a smart, efficient, and eco-friendly manner that is interconnected and provides real-time feedback such as traffic management, pollution control, waste management, health care, etc. In this chapter, we discuss the underlying technology, their implementation, and the working of a model for the creation of a self-sustained smart city. The purpose of a smart city could be achieved if it is sustainable, self-reliant, and autonomous. For that, a novel smart city central management system (SCAS) is introduced in the chapter to administer and cater to the city with minimal intervention of a human. The model is conceptual and focuses more on the implementation and the planning phases of the smart city design.