Building a model for the predictive improvement of air quality in Circular Smart cities

Abstract

A smart city that implements the principles of the Circular Economy (CE) is called a Circular and Smart city. One of the dimensions that make up a CE, one with great weight and importance, is the management of emissions, which in the specific case of cities affects air quality and health of citizens. This work proposes a smart management model for air quality in smart circular cities, in which the various factors that condition it are integrated. In this intelligent management model, data is collected and the application of Artificial Intelligence algorithms is proposed on these data. They not only perform an analysis of the current state of the air, but also allow predictive information to be obtained on how air quality will evolve in the future, an aspect that would allow those responsible for sustainable circular cities to make appropriate decisions.