Predicting driver takeover performance in conditionally automated driving

•We develop a model to predict takeover performance in Level 3 automated driving.•The model predicts takeover performance when drivers have an NDRT with varying load.•We recommend 3 s as the optimal time window to predict takeover performance•We identify important physiological features for takeover...

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Veröffentlicht in:	Accident analysis and prevention Jg. 148; S. 105748
Hauptverfasser:	Du, Na, Zhou, Feng, Pulver, Elizabeth M., Tilbury, Dawn M., Robert, Lionel P., Pradhan, Anuj K., Yang, X. Jessie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier Ltd 01.12.2020
Schlagworte:	Accidents, Traffic - prevention & control Algorithms Automation Automobile Driving Cognition Eye-Tracking Technology Galvanic Skin Response Heart Rate Humans Human–automation interaction Human–autonomy interaction Human–robot interaction Machine Learning Predictive modeling Transition of control Human–automation interaction Predictive modeling Human–autonomy interaction Human–robot interaction Transition of control
ISSN:	0001-4575, 1879-2057, 1879-2057
Online-Zugang:	Volltext
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