High cognitive workload decreases a driver's ability of judgement and response in traffic
situation and could result in a traffic accident. Electrocardiography (ECG) has been used for …

Reduced attentional capacity caused by increased mental workload (MWL) among drivers
can cause traffic accidents. Against this background, a method for effective MWL evaluation …

The main cause of traffic accidents is drivers' human errors such as cognitive, judgment, and
execution errors. To mitigate drivers' human errors, research on the measurement and …

Most of the traffic accidents have been caused by driver's inattention. Therefore, driver
monitoring is one of the most important challenges in order to prevent traffic accidents. Some …

As part of the Supply Chain (SC), oftentimes Land Logistic Driver (LLD) are held by various
uncontrollable occurrences from the surroundings. This caused the cognitive load of the …

Non-driving related cognitive load and variations of emotional state may impact a driver's
capability to control a vehicle and introduces driving errors. Availability of reliable cognitive …

Near-infrared spectroscopy (NIRS) is a promising solution for classifying mental workload
while driving, which is important for creating a support system and preventing traffic …

Emotions and non-driving related cognitive tasks affect a driver's control over a vehicle and
may result in driving errors and traffic accidents. Presence of a monitoring device that would …

Driving performance can be impaired by a high cognitive load of drivers. Thus, it is important
to estimate drivers' cognitive load. Although physiological and eye-tracking metrics have …

This paper explores the influence of high cognitive load on vehicle driver's
electroencephalography (EEG) signals collected from two channels (Fp1, Fp2) using a …