Driving simulators are a common tool for researching driver behaviour, providing practical,
safe, and controlled environments. Despite their frequent use in research, there is relatively …

Vehicle headway distribution models are widely used in traffic engineering fields, since they
reflect the fundamental uncertainty in drivers' car-following maneuvers and meanwhile …

An important question in automated driving research is how quickly drivers take over control
of the vehicle in response to a critical event or a take-over request. Although a large number …

In this paper, we propose a deep neural network-based car-following model that has two
distinctive properties. First, unlike most existing car-following models that take only the …

Driving simulators are used in a wide range of research settings to help develop an
understanding of driver behavior in complex environments. Acute alcohol impairment is an …

Automated vehicles (AVs) are expected to improve traffic flow efficiency and safety. The
deployment of AVs on motorways is expected to be the first step in their implementation. One …

Studies show that drivers' intention to use automated vehicles is strongly modulated by trust.
It follows that their benefits are unlikely to be achieved if users do not trust them. To date …

The article discusses the feasibility and benefits of using immersive virtual environments
(IVEs) to gauge the environmental preferences of individuals. The discussion is based on …

In the context of high-level driving automation (SAE levels 4–5), several studies have shown
that a personalized automated driving style, ie, mimicking that of the human behind the …

Caffeine is widely used to counteract the effects of sleep loss. This systematic review and
meta-analysis examined the impact of acute caffeine consumption on cognitive, physical …