Abstract
The classification of cross-modal information flows in highly automated and autonomous vehicles is presented. The definition of cross-modal interaction in the highly automated vehicles is given and the goal of the analysis of heterogeneous information flows in onboard systems of vehicles is formulated. From the interdisciplinary perspective, on the basis of the system approach, the main provisions of the original method for analyzing the driver’s potential to regain control of the highly automated vehicle are formulated. They are based on the driver’s awareness of the situational circumstances along the route, monitoring the current functional state and individual driver’s characteristics.
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