The mental workload and alertness levels of train drivers under simulated conditions based on electroencephalogram signals

It was suggested by most researchers that train drivers' workload and alertness levels attribute to train accidents. The main objective of this study is to determine the significant patterns of mental workload and alertness levels of train drivers with respect to the conditions. The data are co...

Full description

Bibliographic Details
Main Authors: Rahman, N.I.A., Md Dawal, Siti Zawiah
Format: Article
Published: Malaysian Public Health Physicians Association 2016
Subjects:
_version_ 1825721025532264448
author Rahman, N.I.A.
Md Dawal, Siti Zawiah
author_facet Rahman, N.I.A.
Md Dawal, Siti Zawiah
author_sort Rahman, N.I.A.
collection UM
description It was suggested by most researchers that train drivers' workload and alertness levels attribute to train accidents. The main objective of this study is to determine the significant patterns of mental workload and alertness levels of train drivers with respect to the conditions. The data are collected from simulation experiments on 15 professional train drivers. The simulation experiments are performed under three driving conditions (i.e. daytime, rainy daytime and rainy night) using a train driving simulator set. Electroencephalogram (EEG) signals are collected from six significant points on the body of the subjects. It is found that the mental workload of the train drivers tends to be high during rainy night driving condition and sleepiness occurs which is indicative of low vigilance. The beta amplitude increases under rainy night driving condition which may be attributed to viewing difficulties while driving in the dark. The results reveal that there is a significant different between each session (p = 0.042) especially with the pattern for rainy night driving. It is also observed that there is lower mental workload among the train drivers, which indicates that the train drivers are detached from their work.
first_indexed 2024-03-06T05:44:03Z
format Article
id um.eprints-17967
institution Universiti Malaya
last_indexed 2024-03-06T05:44:03Z
publishDate 2016
publisher Malaysian Public Health Physicians Association
record_format dspace
spelling um.eprints-179672019-02-27T01:22:45Z http://eprints.um.edu.my/17967/ The mental workload and alertness levels of train drivers under simulated conditions based on electroencephalogram signals Rahman, N.I.A. Md Dawal, Siti Zawiah TJ Mechanical engineering and machinery It was suggested by most researchers that train drivers' workload and alertness levels attribute to train accidents. The main objective of this study is to determine the significant patterns of mental workload and alertness levels of train drivers with respect to the conditions. The data are collected from simulation experiments on 15 professional train drivers. The simulation experiments are performed under three driving conditions (i.e. daytime, rainy daytime and rainy night) using a train driving simulator set. Electroencephalogram (EEG) signals are collected from six significant points on the body of the subjects. It is found that the mental workload of the train drivers tends to be high during rainy night driving condition and sleepiness occurs which is indicative of low vigilance. The beta amplitude increases under rainy night driving condition which may be attributed to viewing difficulties while driving in the dark. The results reveal that there is a significant different between each session (p = 0.042) especially with the pattern for rainy night driving. It is also observed that there is lower mental workload among the train drivers, which indicates that the train drivers are detached from their work. Malaysian Public Health Physicians Association 2016 Article PeerReviewed Rahman, N.I.A. and Md Dawal, Siti Zawiah (2016) The mental workload and alertness levels of train drivers under simulated conditions based on electroencephalogram signals. Malaysian Journal of Public Health Medicine, 16 (Sppl.1). pp. 115-123. ISSN 1675-0306, http://www.mjphm.org.my/mjphm/journals/2016%20-%20Volume%2016%20(Suppl.%201)/THE%20MENTAL%20WORKLOAD%20AND%20ALERTNESS%20LEVELS%20OF%20TRAIN%20DRIVERS%20UNDER%20SIMULATED%20CONDITIONS%20BASED.pdf
spellingShingle TJ Mechanical engineering and machinery
Rahman, N.I.A.
Md Dawal, Siti Zawiah
The mental workload and alertness levels of train drivers under simulated conditions based on electroencephalogram signals
title The mental workload and alertness levels of train drivers under simulated conditions based on electroencephalogram signals
title_full The mental workload and alertness levels of train drivers under simulated conditions based on electroencephalogram signals
title_fullStr The mental workload and alertness levels of train drivers under simulated conditions based on electroencephalogram signals
title_full_unstemmed The mental workload and alertness levels of train drivers under simulated conditions based on electroencephalogram signals
title_short The mental workload and alertness levels of train drivers under simulated conditions based on electroencephalogram signals
title_sort mental workload and alertness levels of train drivers under simulated conditions based on electroencephalogram signals
topic TJ Mechanical engineering and machinery
work_keys_str_mv AT rahmannia thementalworkloadandalertnesslevelsoftraindriversundersimulatedconditionsbasedonelectroencephalogramsignals
AT mddawalsitizawiah thementalworkloadandalertnesslevelsoftraindriversundersimulatedconditionsbasedonelectroencephalogramsignals
AT rahmannia mentalworkloadandalertnesslevelsoftraindriversundersimulatedconditionsbasedonelectroencephalogramsignals
AT mddawalsitizawiah mentalworkloadandalertnesslevelsoftraindriversundersimulatedconditionsbasedonelectroencephalogramsignals