Advanced vehicle automation and the incorporation of more digital technologies in the task of driving bring about new challenges in terms of the operator/vehicle/environment framework, where human factors play a crucial role. This paper attempt to consolidate the state-of-the-art in driver state measuring, as well as the corresponding technologies for risk assessment and mitigation, as part of the i-DREAMS project. Initially, the critical indicators for driver profiling with regards to safety risk are identified and the most prominent task complexity indicators are established. This is followed by linking the aforementioned indicators with efficient technologies for real-time measuring and risk assessment and finally interventions modules are recommended in order to prevent and mitigate collision risk. It is expected that the results of this review will provide an overall multimodal set of factors and technologies for driver monitoring and risk mitigation, essential for road safety researchers and practitioners worldwide