Literature DB >> 14741236

Correlation between driving errors and vigilance level: influence of the driver's age.

Aurelie Campagne1, Thierry Pebayle, Alain Muzet.   

Abstract

During long and monotonous driving at night, most drivers progressively show signs of visual fatigue and loss of vigilance. Their capacity to maintain adequate driving performance usually is affected and varies with the age of the driver. The main question is to know, on one hand, if occurrence of fatigue and drowsiness is accompanied by a modification in the driving performance of the driver and, on the other hand, if this relationship partially depends on the driver's age. Forty-six male drivers, divided into three age categories: 20-30, 40-50, and 60-70 years, performed a 350-km motorway driving session at night on a driving simulator. Driving errors were measured in terms of number of running-off-the-road incidents (RORI) and large speed deviations. The evolution of physiological vigilance level was evaluated using electroencephalography (EEG) recording. In older drivers, in comparison with young and middle-aged drivers, the degradation of driving performance was correlated to the evolution of lower frequency waking EEG (i.e., theta). Contrary to young and middle-aged drivers, the deterioration of the vigilance level attested by EEG correlated with the increase in gravity of all studied driving errors in older drivers. Thus, depending on the age category considered, only part of the driving errors would constitute a relevant indication as for the occurrence of a state of low arousal.

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Year:  2004        PMID: 14741236     DOI: 10.1016/j.physbeh.2003.10.004

Source DB:  PubMed          Journal:  Physiol Behav        ISSN: 0031-9384


  21 in total

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3.  Developing an EEG-based on-line closed-loop lapse detection and mitigation system.

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Journal:  Front Neurosci       Date:  2014-10-13       Impact factor: 4.677

4.  Increase in brain activation due to sub-tasks during driving: fMRI study using new MR-compatible driving simulator.

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Journal:  J Physiol Anthropol       Date:  2017-01-26       Impact factor: 2.867

Review 5.  The effects of sleep loss on young drivers' performance: A systematic review.

Authors:  Shamsi Shekari Soleimanloo; Melanie J White; Veronica Garcia-Hansen; Simon S Smith
Journal:  PLoS One       Date:  2017-08-31       Impact factor: 3.240

6.  Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces.

Authors:  Teng Cao; Feng Wan; Chi Man Wong; Janir Nuno da Cruz; Yong Hu
Journal:  Biomed Eng Online       Date:  2014-03-12       Impact factor: 2.819

7.  Cognitive Fatigue Facilitates Procedural Sequence Learning.

Authors:  Guillermo Borragán; Hichem Slama; Arnaud Destrebecqz; Philippe Peigneux
Journal:  Front Hum Neurosci       Date:  2016-03-03       Impact factor: 3.169

8.  Behavioral and Neurophysiological Signatures of Benzodiazepine-Related Driving Impairments.

Authors:  Bradly T Stone; Kelly A Correa; Timothy L Brown; Andrew L Spurgin; Maja Stikic; Robin R Johnson; Chris Berka
Journal:  Front Psychol       Date:  2015-11-26

9.  Identifying changes in EEG information transfer during drowsy driving by transfer entropy.

Authors:  Chih-Sheng Huang; Nikhil R Pal; Chun-Hsiang Chuang; Chin-Teng Lin
Journal:  Front Hum Neurosci       Date:  2015-10-23       Impact factor: 3.169

10.  Brain Electrodynamic and Hemodynamic Signatures Against Fatigue During Driving.

Authors:  Chun-Hsiang Chuang; Zehong Cao; Jung-Tai King; Bing-Syun Wu; Yu-Kai Wang; Chin-Teng Lin
Journal:  Front Neurosci       Date:  2018-03-27       Impact factor: 4.677

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