Findings from Technical University of Munich in Risk Management Reported (Modeling take-over performance in level 3 conditionally automated vehicles)
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Our news journalists obtained a quote from the research from the
According to the news editors, the research concluded: "Especially the timebudget, traffic density and the repetition strongly influenced the take-over performance, while the non-drivingrelated tasks, the lane and drivers' age explained a minor portion of the variance in the take-over performances."
For more information on this research see: Modeling take-over performance in level 3 conditionally automated vehicles. Accident Analysis and Prevention, 2018;116():3-13. Accident Analysis and Prevention can be contacted at:
The news correspondents report that additional information may be obtained from
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.aap.2017.11.009. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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