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

Accid Anal Prev. 2015 May:78:212-221. doi: 10.1016/j.aap.2015.02.023. Epub 2015 Mar 17.

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.

Keywords: Automated driving; Driver distraction; Driver take-over; Driving simulator; Eye movements; Visual attention.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Aged
  • Attention / physiology*
  • Automation*
  • Automobile Driving / psychology*
  • Female
  • Fixation, Ocular
  • Germany
  • Humans
  • Male
  • Middle Aged
  • Models, Psychological*
  • Problem Solving
  • Reaction Time
  • Time Factors
  • Young Adult