Machine Learning Approaches in Smart Cities

With the advent of urbanization, the introduction of smart cities is taking place at a rapid rate to enable the ever-growing population in the urban cities to give them a chance of having a good lifestyle. Smart cities aim to do so by using and adopting the modern concepts of technology. The objective of this research is to understand and unleash how the smart cities that are coming up depend on technological aspects like sensors and actuators so that large volumes of data can be both stored as well as utilized to extract information that could prove to be beneficial for the growth of the city. The study followed content and document reviews with a systematic literature review to arrive at the observation made. For conducting this study, secondary data has been taken into consideration where the database of reliable sources like EBSCO, Scopus, and Web of Science have been utilized. This study has shown that how the emergence of ML (Machine Learning) tools makes use of algorithms that help in providing personalized services as well as efficient resource management in smart cities.