This thesis work addresses a real case problem that concern heavy duty’s vehicle and patterns. Due to the diffusion of IoT devices and the establishing of cars connected mobility in firms, the connectivity of heavy-duty in-vehicle is becoming a more and more important task in pattern identification tasks. This work is developed in Tierra S.p.A., a company that creates innovative solutions in advanced telematics and IoT fields and that is part of the collaboration between the applied research and data analytics department and Politecnico di Torino. The purpose of this work is the identification of pattern thresholds in heavy duty’s vehicles, due to clients’ failures in manual detection.