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Erschienen in:
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2019 | OriginalPaper | Buchkapitel

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

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

Erschienen in: Advances in Human Aspects of Transportation

Verlag: Springer International Publishing

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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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Vorheriges Kapitel Effect of Knowledge of Automation Capability on Trust and Workload in an Automated Vehicle: A Driving Simulator Study
Nächstes Kapitel Integrated Approach Supporting Virtual Conception of Passenger Ergonomics in Automated Driving Cars
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Metadaten
Titel
Derivation of a Model of Safety Critical Transitions between Driver and Vehicle in Automated Driving
verfasst von
Nicolas D. Herzberger
Gudrun M. I. Voß
Fabian K. Becker
Filippo Grazioli
Eugen Altendorf
Yigiterkut Canpolat
Frank O. Flemisch
Maximilian Schwalm
Copyright-Jahr
2019
Buch
Advances in Human Aspects of Transportation

Print ISBN: 978-3-319-93884-4

Electronic ISBN: 978-3-319-93885-1

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-319-93885-1_38

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