Conference paper – First Online: 29 May 2020 – Part of the IFIP Advances in Information and
Communication Technology book series (IFIPAICT,volume 583)
Smart cities emerge as highly sophisticated bionetworks, providing smart services and ground-breaking
solutions. This paper relates classification with Smart City projects, particularly focusing on traffic
prediction. A systematic literature review identifies the main topics and methods used, emphasizing on
various Smart Cities components, such as data harvesting and data mining. It addresses the research
question whether we can forecast traffic load based on past data, as well as meteorological conditions.
Results have shown that various models can be developed based on weather data with varying level of
success.