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Take-over performance in evasive manoeuvres.

Riender Happee1, Christian Gold2, Jonas Radlmayr2

  • 1Technical University of Munich, Chair of Ergonomics, Boltzmannstraße 15, D-85747 Garching, Germany; Delft University of Technology, BioMechanical Engineering, Mekelweg 2, 2628 CD, Delft, The Netherlands.

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This summary is machine-generated.

Drivers experienced delayed reactions after automated driving, with cognitive and visual distractions similarly impacting intervention times. Evasive maneuver precision remained largely unaffected, but further real-world validation is crucial.

Keywords:
Automated drivingEvasiveFallbackSurrogate safety metricTake-overTime to collision

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Area of Science:

  • Human-computer interaction
  • Automotive engineering
  • Traffic safety

Background:

  • Automation in vehicles can lead to driver skill degradation.
  • Understanding driver performance after automation is crucial for safety.
  • Take-over scenarios require rapid and accurate driver responses.

Purpose of the Study:

  • To investigate the after-effects of automated driving on driver performance during evasive maneuvers.
  • To compare driver responses after cognitive distraction versus visual distraction during automated driving.
  • To evaluate surrogate safety metrics like Time to Collision (TTC) in simulated driving scenarios.

Main Methods:

  • Utilized a high-end moving-base driving simulator for realistic simulations.
  • Compared driver performance in three conditions: manual driving, post-cognitive distraction (n-back task), and post-visual distraction (SuRT task).
  • Analyzed minimum Time to Collision (TTC) and minimum clearance as surrogate safety metrics.

Main Results:

  • Delayed steering and braking interventions were observed after automated driving compared to manual driving.
  • Both cognitive and visual distractions similarly delayed intervention times, with visual distraction having a larger impact on TTC.
  • Evasive maneuver precision, including obstacle clearance and lane excursions, was not significantly affected by prior automation or distraction.

Conclusions:

  • Automation can lead to performance decrements in take-over scenarios, necessitating further research in real-world driving.
  • Surrogate safety metrics like TTC are valuable for assessing evasive maneuvers but require validation.
  • Future studies should focus on real-world data to confirm simulator findings and validate safety measures.