This study examines drivers' responses to automated driving technology failures in semi-
automated vehicles. The study is executed in a human-in-the-loop setting, within a high …

Abstract Conditionally Automated Driving (CAD) may reduce drivers' mental load and
provide the driver opportunities to engage in non-driving related tasks (NDRTs). Such …

In SAE Level 3 automated driving, taking over control from automation raises significant
safety concerns because drivers out of the vehicle control loop have difficulty negotiating …

The growing proportion of older drivers in the population plays an increasingly relevant role
in road traffic that is currently awaiting the introduction of automated vehicles. In this study, it …

This study investigates the impacts of road traffic conditions and driver's characteristics on
the takeover time in automated vehicles using a driving simulator. Automated vehicles are …

A variety of takeover scenarios will happen in conditionally automated driving. Previous
studies presented mixed results regarding the effects of scenarios on takeover performance …

Although fatigue's negative impact on driving performance is well known from manual
driving, its effect on the take-over performance during the transition from conditionally …

One proposed benefit of automated vehicles (AVs) is their potential to mitigate the
occurrence of serious crashes due to human error or poor decision making while driving …

This driving simulator study, conducted as a part of Horizon2020-funded L3Pilot project,
investigated how different car-following situations affected driver workload, within the context …

Objective: The objective for this study was to investigate the effects of prior familiarization
with takeover requests (TORs) during conditional automated driving on drivers' initial …