Cristiana Carvalho¹, Filipe Cabral Pinto¹, Isabel Borges¹, Gonçalo Machado¹ and Ilídio Oliveira², ¹Altice Labs, Portugal and ²University of Aveiro, Portugal

Digital transformation has changed management models in cities. The use of tools supported by information and communication technologies has facilitated the planning and control of the urban space allowing a rapprochement between the city and the citizens. This proximity is exponentiated with the advent of the Internet of things becoming possible to permanently know the state of the city and to act on the different infrastructures in a dynamic way. This paper proposes the use of Machine Learning techniques to enhance city management by predicting behaviours and automatically adapt rules mechanisms in order to mitigate city problems contributing to the improvement of lives living or visiting municipalities.

Architecture, Learning City, Smart Cities, Machine Learning, Big Data