Driver inattention and distraction are the main causes of road accidents, many of which
result in fatalities. To reduce road accidents, the development of information systems to …

Driver workload (DWL) is an important factor that needs to be considered in the study of
traffic safety. The research focus on DWL has undergone certain shifts with the rapid …

Many research works indicate that EEG bands, specifically the alpha and theta bands, have
been potentially helpful cognitive load indicators. However, minimal research exists to …

Conveying supporting information by an in-vehicle human–machine interface (HMI)
overtaking assistance system represents a promising approach to facilitate safe overtaking …

In recent years, many studies have used poor cognitive functions to explain risk safety
differences among drivers. Working memory is a cognitive function with information storage …

Driver's under-arousal occurred in automated driving systems (ADS) impairs takeover safety.
This study aims to determine electrodermal activity (EDA) features' importance for driver's …

In this chapter, the reader is introduced to the topic of driver distraction: its definition and
mechanisms; its impact on driving performance and safety; approaches to preventing it; …

Abstract The emergence of Intelligent Connected Vehicles (ICVs) is expected to drastically
change various fields in the transportation system—especially traffic safety of road users …

Vehicle-to-Infrastructure (V2I) communication has provided a solution for the improvement of
the traffic efficiency of smart city intersections. For example, turning maneuvers prediction at …

Objective The study aims to investigate the potential of using HUD (head-up display) as an
approach for drivers to engage in non–driving-related tasks (NDRTs) during automated …