Vehicle automation has the potential to improve driving safety and driver comfort. The MEDIATOR (MEdiating between Driver and Intelligent Automated Transport systems on Our Roads) system aims to aid the realization of this potential by mediating between the driver and the automation on who is fittest to drive. Make this trade-off in a timely and safe manner, requires both driver and automation fitness to be detected and predicted for the near future. Within the MEDIATOR project, numeral representations of driver and automation fitness, i.e., time to driver fitness and time to driver unfitness and the equivalents for automation fitness, were therefore defined. To take the first steps in estimating these variables in real time, the research described in this deliverable, focuses on detection and prediction of the driver state and finding relationships between driver state and driving performance. These relations were then used for setting behavioural markers that indicate degraded performance, which form the scientific basis for the estimates of time to driver fitness and time to driver unfitness. This research leads to the main outcome of this deliverable, i.e., the functional requirements for the driver module of the Mediator system. (Author/publisher)
Abstract