Objective: This article provides a review of empirical studies of automated vehicle takeovers
and driver modeling to identify influential factors and their impacts on takeover performance …

Hazard perception (HP) is the process of detecting and identifying hazards. Drivers' HP
abilities are critical for driving safety. This paper presents a systematic literature review of …

Waymo's mission to reduce traffic injuries and fatalities and improve mobility for all has led
us to expand deployment of automated vehicles (AVs) on public roads without a human …

Objective: The objective of this paper was to outline an explanatory framework for
understanding effects of cognitive load on driving performance and to review the existing …

When motorcyclists have an accident, they are at high risk of suffering severe or fatal
injuries. The difficulty experienced by motorcyclists and considered one of the most …

Objective We aim to bridge the gap between naturalistic studies of driver behavior and
modern cognitive and neuroscientific accounts of decision making by modeling the cognitive …

Accidents involving pedestrians are particularly common at unsignalised intersections and
mid-block crosswalks, where vehicles often do not yield to them. Analysing and …

This paper assessed four types of human-machine interfaces (HMIs), classified according to
the stages of automation proposed by Parasuraman et al.[“A model for types and levels of …

Objective This study evaluates the benefits and costs associated with providing drivers
continuous feedback on the limits and behavior of imperfect vehicle control automation …

This driving simulator study, conducted as part of the EU AdaptIVe project, investigated
drivers' performance in critical traffic events, during the resumption of control from an …