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 attempts 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
a brief overview of interventions modules is outlined in order to prevent and
mitigate collision risk. 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<br