Highlights A driving simulator study on highly automated driving on the highway was conducted. The influence of the drivers’ gaze behavior on driver take-over was examined. Drivers were classified into different risk groups according to their gaze behavior. High-risk drivers reacted later and less adequately when taking over the vehicle. A model approach of driver behavior in take-over situations is presented.

    Abstract In recent years the automation level of driver assistance systems has increased continuously. One of the major challenges for highly automated driving is to ensure a safe driver take-over of the vehicle guidance. This must be ensured especially when the driver is engaged in non-driving related secondary tasks. For this purpose it is essential to find indicators of the driver’s readiness to take over and to gain more knowledge about the take-over process in general. A simulator study was conducted to explore how drivers’ allocation of visual attention during highly automated driving influences a take-over action in response to an emergency situation. Therefore we recorded drivers’ gaze behavior during automated driving while simultaneously engaging in a visually demanding secondary task, and measured their reaction times in a take-over situation. According to their gaze behavior the drivers were categorized into “high”, “medium” and “low-risk”. The gaze parameters were found to be suitable for predicting the readiness to take-over the vehicle, in such a way that high-risk drivers reacted late and more often inappropriately in the take-over situation. However, there was no difference among the driver groups in the time required by the drivers to establish motor readiness to intervene after the take-over request. An integrated model approach of driver behavior in emergency take-over situations during automated driving is presented. It is argued that primarily cognitive and not motor processes determine the take-over time. Given this, insights can be derived for further research and the development of automated systems.


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    Titel :

    What determines the take-over time? An integrated model approach of driver take-over after automated driving


    Beteiligte:
    Zeeb, Kathrin (Autor:in) / Buchner, Axel (Autor:in) / Schrauf, Michael (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2015-02-28


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch