Objective The aim of this paper was to synthesize the experimental research on factors that
affect takeover performance during conditionally automated driving. Background For …

Introduction The introduction of automated vehicles to the road environment brings new
challenges for older drivers. Level 3 of conditional automation requires drivers to take over …

Objective: This study aimed at investigating the driver's takeover performance when
switching from working on different non–driving related tasks (NDRTs) while driving with a …

Driving is important for older people to maintain mobility. To reduce age‐related functional
decline, older drivers may adjust their driving by avoiding difficult situations. One of these …

The ability to continue driving into old age is strongly associated with older adults' mobility
and wellbeing for those that have been dependant on car use for most of their adult lives …

The present study examined whether the non-chronological age factor, engagement in
physical exercise, affected responses to multimodal (combinations of visual, auditory, and/or …

Driving is closely linked to older people's mobility and independence. However, age-related
functional decline reduces their safe driving abilities and thereby their wellbeing may …

Exploring the future mobility of older people is imperative for maintaining wellbeing and
quality of life in an ageing society. The forthcoming level 3 automated vehicle may …

The development of highly automated vehicles can meet elderly drivers' mobility needs;
however, worse driving performance after a takeover request (TOR) is frequently found …

Background Meta studies on factors contributing to take-over performance did not include
the design of take-over request (TOR) signals, other than the modality at which TORs are …