New technologies have been progressively integrated into vehicles during the last thirty years. Commercial vehicles today can be seen as 2 tonne IoT devices on wheels that continuously collect high-quality information not only from the internal performance and behavior of the vehicle but also from the external environment.

The adoption of cutting-edge technologies like 5G, Edge Computing and Artificial Intelligence (AI) will be essential pillars for the actual implementation of new Intelligent Transportation Systems (ITS) leveraging Vehicle-to-everything (V2X) paradigm. This paper is focused on the design and implementation of a connected vehicle-based system to enable new services and applications to be developed, by exploiting high-quality data collected from onboard sensors and ECUs and leveraging state-of-the-art machine learning technologies.