Driving simulation has become a very useful tool for vehicle design and research in industry
and educational institutes. This paper provides a review of driving simulator components …

Introduction In a context of increasing automation of road transport, many researchers have
been dedicated to analyse the risks and safety implications of resuming the manual control …

Abstract The introduction of Automated Vehicles (AVs) into the transportation network is
expected to improve system performance, but the impacts of AVs in mixed traffic streams …

Detecting the mental state of a driver using electroencephalography (EEG) signals can
reduce the probability of traffic accidents. However, EEG signals are unstable and nonlinear …

Drowsiness and distraction are major factors of road crashes and responsible of> 35% of
road fatalities. Automated driving could solve or minimize their impact, yet it is also in itself a …

Introduction: During SAE level 3 automated driving, the driver's role changes from active
driver to fallback-ready driver. Drowsiness is one of the factors that may degrade driver's …

In conditionally automated driving, drivers are required to respond to takeover requests
(TORs) and resume manual driving of the vehicle in situations where the conditionally …

Vehicle automation allows drivers to disengage from driving causing a potential decline in
their alertness. One of the major challenges of highly automated vehicles is to ensure a …

For automated driving at SAE level 3 or lower, driver performance in responding to takeover
requests (TORs) is decisive in providing system safety. A driver state monitoring system that …

The objective of this study was to compare the development of sleepiness during manual
driving versus level 2 partially automated driving, when driving on a motorway in Sweden …