Abstract
In automated driving, there is the risk that users must take over the vehicle guidance despite a potential lack of involvement in the driving task. This publication presents an initial model of control distribution between users and the automated system. In this model, the elements of the control distribution in automated driving are addressed together with possible and safe transitions between different driving modes. Furthermore, the approach is initially empirically validated. In a driving study, in which participants operated both driving and a non-driving related task, objective driving data as well as eye-tracking parameters are used to estimate the model’s accuracy. Such an explanatory model can serve as a first approach to describe potential concepts of cooperation between users and automated vehicles. In this way, prospective road traffic concepts could be improved by preventing safety critical transitions between the driver and the vehicle.
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This project was funded within the Priority Program “Cooperative Interacting Automobiles (CoInCar)” of the German Science Foundation DFG.
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Herzberger, N.D. et al. (2019). Derivation of a Model of Safety Critical Transitions between Driver and Vehicle in Automated Driving. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2018. Advances in Intelligent Systems and Computing, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-93885-1_38
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DOI: https://doi.org/10.1007/978-3-319-93885-1_38
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