Human-vehicle interaction in the presence of automated driving features (ADFs) poses
significant challenges in behavioural adaptation. At the current level of automation, the …

Objective The aim of this study was to investigate the effects of non-driving related tasks on
the drivers' fatigue in prolonged conditional automated driving (CAD) in on-road real traffic …

Understanding driver behavior of conditionally automated driving is necessary to ensure a
safe transition from automated to manual driving. This study aimed to examine the difference …

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

Conditionally automated driving (SAE Level 3) relinquishes driver from monitoring the
driving task and the traffic environment, permitting the driver to perform non-driving-related …

In conditionally automated driving, drivers are required to respond to takeover requests
(TORs) and resume manual driving of the vehicle in situations where the conditionally …

In conditionally automated vehicles the driver still functions as a fall-back, responsible to
take back manual vehicle control at any time. This study examines how driver's behaviour …

Autonomous vehicles and advanced driver assistance technology are growing
exponentially, and vehicles equipped with conditional automation, which has features like …

The increase in automated driving changes the role of the human driver. Under SAE level 3
conditions, the driver has to be able to take back the driving task at any time. However …

In this paper we investigated if keeping the driver in the perception–action loop during
automated driving can improve take-over behavior from conditionally automated driving. To …