For a decade, researchers working in the area of road safety have started exploring the use
of driving behavior data for a better understanding of the causes related to road accidents. A …

The large-scale deployment of automated vehicles on public roads has the potential to
vastly change the transportation modalities of today's society. Although this pursuit has been …

A prime concern for automated vehicles is motion comfort, as an uncomfortable ride may
reduce acceptance of the technology amongst the general population. However, it is not …

In conditionally automated driving, drivers have difficulty in takeover transitions as they
become increasingly decoupled from the operational level of driving. Factors influencing …

Background Alzheimer disease (AD) is the most common cause of dementia. Preclinical AD
is the period during which early AD brain changes are present but cognitive symptoms have …

Human drivers have different driving styles, experiences, and emotions due to unique
driving characteristics, exhibiting their own driving behaviors and habits. Various research …

In this work we put forward a predictive trajectory planning framework to help autonomous
vehicles plan future trajectories. We develop a partially observable Markov decision process …

Automated vehicles are anticipated to have benefits for older adults in maintaining their
mobility and autonomy. These anticipated benefits can only be realized if this technology is …

Road accidents and vehicular emissions are two significant issues related to road
transportation, affecting both human life and the environment. Prior research suggests that …

Real-time driving risk status prediction is critical for developing proactive traffic intervention
strategies and enhance driving safety. However, the optimal observation time window length …