The study of driving behaviour is an element of great interest for all those companies that provide a fleet management service. Careful observations allow us to find imperfections that, if corrected, entail a reduction of risks and an increase in profits. In order to objectively evaluate this type of behaviour, there are countless indicators to be taken into consideration. In this work, the most significant indicators among those available are used to produce an evaluation of the driving behaviour through a pipeline of operations related to the world of data science. ?? This thesis focuses on the last stage of the process.