<p>This work proposes new additional levels of progressive driver assistance, extending the traditional Grades Of Automation (GoA) in order to allow both dedicated Operational and Tactical assistances. The second contribution is an Artificial Intelligence Driving Assistance System (AIDAS) that aims to restore the driver to their central role in the train driving activity, with the new Grades of Operational and Tactical Automation (GOTA) defined previously, taking into account human factors. The framework of Digital Co-Driver (DCD) is comprised of multiple monitoring and modules, each addressing a distinct issue arising from the augmented level of automation. The Driver State, Driving Performance and Environmental Monitoring provide indicators of global driver involvement to maintain a high level of performance in manual driving and to deal with system failures. The GOTA Selector Module then helps the driver to be optimally engaged while driving by adapting the GOTA to the specific needs. Finally, the Driver Companion Module learns about the driver’s preferences and needs to adapt the assistance and help the driver to improve their own driving skills.</p>