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Derivation of a Model of Safety Critical Transitions between Driver and Vehicle in Automated Driving

: Herzberger, Nicolas D.; Voß, Gudrun M.I.; Becker, Fabian K.; Grazioli, Filippo; Altendorf, Eugen; Canpolat, Yigiterkut; Flemisch, Frank O.; Schwalm, Maximilian


Stanton, Neville (Ed.):
Advances in Human Aspects of Transportation : Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, July 21-25, 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA
Cham: Springer Nature, 2019 (Advances in Intelligent Systems and Computing 786)
ISBN: 978-3-319-93884-4 (Print)
ISBN: 978-3-319-93885-1 (Online)
International Conference on Applied Human Factors and Ergonomics (AHFE) <9, 2018, Orlando/Fla.>
International Conference on Human Factors in Transportation <2018, Orlando/Fla.>
Conference Paper
Fraunhofer FKIE ()

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.