期刊
ACCIDENT ANALYSIS AND PREVENTION
卷 174, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.aap.2022.106725
关键词
Automated driving; Driver-initiated take-overs; Driver behavior; Trust in automation; Criticality; Traffic safety
类别
资金
- German Research Community (Deutsche Forschungsgemeinschaft DFG) [326727090]
The study investigates the predictors of driver-initiated take-overs in automated driving and their impact on traffic safety. Results show that trust in automation and driving situation severity affect the probability of driver-initiated take-overs. Rear-end collisions are associated with traction usage.
Transitions of vehicle control between automated vehicle and driver remain a necessity in the near future. Most research focuses on system-initiated transitions of control. However, drivers may also actively decide to take over without being prompted by the automation. The present study aims to uncover predictors of such driver-initiated take-overs in automated driving and to examine their impact on traffic safety. We conducted two driving simulator studies with a total of 100 participants examining whether trust in automation and the criticality of the driving situation predict driver-initiated take-overs during highly dynamic braking maneuvers. Trust was varied via automation reliability in a prior induction phase, while criticality was manipulated via different levels of time headway (THW) and traction usage (TU). Potential limitations of study 1 concerning trust induction and predictor operationalization were addressed and eliminated in study 2. Results of both studies show that drivers' trust in automation and THW affected the probability of driver-initiated take-overs. TU affected take-over probability only in interaction with THW and trust. Moreover, TU was associated with rear-end collisions. Our experiments demonstrate that driver-initiated take-overs in automated driving do occur and that drivers' subsequent behavior may impair traffic safety. A better understanding of driver-initiated take-overs helps to increase the safety potential of automated vehicles, e.g., by designing assistance systems which will support drivers who initiate a take-over under critical, highly dynamic conditions.
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