Literature DB >> 8795796

Sleepiness and performance of professional drivers in a truck simulator--comparisons between day and night driving.

M Gillberg1, G Kecklund, T Akerstedt.   

Abstract

Previous research has shown that night driving performance may be seriously affected by sleepiness. The present study compared daytime and night-time performance of professional drivers on a simulated truck driving task. A secondary purpose was whether a nap or a rest pause would affect performance. Nine professional drivers participated in a counterbalanced design. The conditions were day driving (DAYDRIVE), night driving (NIGHTDRIVE), night driving with a 30 minute rest (NIGHTREST), and night driving with a 30 minute nap (NIGHTNAP). Each condition consisted of three consecutive 30-min periods. For the DAYDRIVE and NIGHTDRIVE all periods were spent driving while the second period was either a rest pause or a nap for the other two conditions. Mean speed, standard deviation of speed and, standard deviation for lane position were recorded. Self ratings of sleepiness were obtained before and after each 30-min period. Reaction time tests and 10 minute standardized EEG/EOG recordings were obtained before and after each condition. EEG/EOG were also recorded continuously during driving. The effects on driving were small but significant: night driving was slower, with a higher variability of speed, and had higher variability of lane position. Subjective and EEG/EOG sleepiness were clearly higher during the night conditions. Reaction time performance was not significantly affected by conditions. Neither the nap nor the rest pause had any effect.

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Year:  1996        PMID: 8795796     DOI: 10.1046/j.1365-2869.1996.00013.x

Source DB:  PubMed          Journal:  J Sleep Res        ISSN: 0962-1105            Impact factor:   3.981


  9 in total

1.  Sleep Loss and Fatigue in Shift Work and Shift Work Disorder.

Authors:  Torbjörn Akerstedt; Kenneth P Wright
Journal:  Sleep Med Clin       Date:  2009-06-01

2.  The efficacy of a restart break for recycling with optimal performance depends critically on circadian timing.

Authors:  Hans P A Van Dongen; Gregory Belenky; Bryan J Vila
Journal:  Sleep       Date:  2011-07-01       Impact factor: 5.849

3.  The characteristics of sleepiness during real driving at night--a study of driving performance, physiology and subjective experience.

Authors:  David Sandberg; Anna Anund; Carina Fors; Göran Kecklund; Johan G Karlsson; Mattias Wahde; Torbjörn Åkerstedt
Journal:  Sleep       Date:  2011-10-01       Impact factor: 5.849

4.  Optimization of biomathematical model predictions for cognitive performance impairment in individuals: accounting for unknown traits and uncertain states in homeostatic and circadian processes.

Authors:  Hans P A Van Dongen; Christopher G Mott; Jen-Kuang Huang; Daniel J Mollicone; Frederic D McKenzie; David F Dinges
Journal:  Sleep       Date:  2007-09       Impact factor: 5.849

5.  Electrophysiological Brain-Cardiac Coupling in Train Drivers during Monotonous Driving.

Authors:  Ty Lees; Taryn Chalmers; David Burton; Eugene Zilberg; Thomas Penzel; Shail Lal; Sara Lal
Journal:  Int J Environ Res Public Health       Date:  2021-04-02       Impact factor: 3.390

6.  Study on the Effect of Driving Time on Fatigue of Grassland Road Based on EEG.

Authors:  Yule Zhang; Shoulin Zhu
Journal:  J Healthc Eng       Date:  2021-07-08       Impact factor: 2.682

7.  Modelling the Relationship between the Nature of Work Factors and Driving Performance Mediating by Role of Fatigue.

Authors:  Al-Baraa Abdulrahman Al-Mekhlafi; Ahmad Shahrul Nizam Isha; Nicholas Chileshe; Mohammed Abdulrab; Anwar Ameen Hezam Saeed; Ahmed Farouk Kineber
Journal:  Int J Environ Res Public Health       Date:  2021-06-23       Impact factor: 3.390

8.  Tests of a New Drowsiness Characterization and Monitoring System Based on Ocular Parameters.

Authors:  Clémentine François; Thomas Hoyoux; Thomas Langohr; Jérôme Wertz; Jacques G Verly
Journal:  Int J Environ Res Public Health       Date:  2016-01-29       Impact factor: 3.390

9.  Multi-Timescale Drowsiness Characterization Based on a Video of a Driver's Face.

Authors:  Quentin Massoz; Jacques G Verly; Marc Van Droogenbroeck
Journal:  Sensors (Basel)       Date:  2018-08-25       Impact factor: 3.576

  9 in total

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