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Related Experiment Video

Updated: Mar 24, 2026

Implementation of Portable Emissions Measurement Systems PEMS for the Real-driving Emissions RDE Regulation in Europe

Implementation of Portable Emissions Measurement Systems PEMS for the Real-driving Emissions RDE Regulation in Europe

Published on: December 4, 2016

Driver state examination--Treading new paths.

Edmund Wascher¹, Stephan Getzmann¹, Melanie Karthaus¹

¹IfADo-Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.

Accident; Analysis and Prevention

|March 18, 2016

Summary

This summary is machine-generated.

Driver fatigue in monotonous driving increases errors. Brainwave synchronization and event-related potentials, not just Alpha power, better indicate declining mental resources during long driving tasks.

Keywords:

Alpha and Theta power Car driving EEG synchronization Mental fatigue Mismatch negativity

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Last Updated: Mar 24, 2026

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Published on: September 18, 2012

Area of Science:

Neuroscience
Human Factors
Transportation Safety

Background:

Driver fatigue is a significant cause of road accidents.
Fatigue manifests in various forms, including sleep-related, active task-related, and passive task-related fatigue.
Monotonous driving conditions are particularly prone to inducing passive task-related fatigue.

Purpose of the Study:

To investigate objective measures of mental fatigue during monotonous driving.
To analyze electrophysiological correlates of fatigue using electroencephalography (EEG).
To assess the impact of driving duration and crosswind intensity on performance and brain activity.

Main Methods:

A long-lasting driving simulation experiment was conducted.
Participants compensated for varying strengths of crosswind.
EEG measures, including Alpha and Theta power, Inter Trial Coherence (ITC), and auditory event-related potentials (P3a), were analyzed alongside performance data.

Main Results:

Driving errors and lane variability increased with time on task and crosswind strength.
Posterior Alpha and Theta power increased with time on task but decreased with stronger crosswind.
P3a amplitude decreased with time on task under weak crosswind, while ITC showed reduced frontal Alpha and Theta synchronization over time.

Conclusions:

Posterior Alpha power in monotonous driving may reflect boredom or attentional withdrawal rather than a decline in processing ability.
Brain oscillatory synchronization and event-related activity appear to be more reliable indicators of declining mental resources during prolonged driving.
Understanding these fatigue indicators can inform strategies to enhance driver safety in monotonous conditions.