The Effects of Driving Environment on the Mental Workload of Train Drivers
A study is carried out to investigate the effects of driving environment on the mental workload of train drivers while driving. The driving task is performed under three environmental conditions, i.e. clear sunny day, rainy day and rainy night driving. Electroencephalography (EEG) measurements are r...
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| Veröffentlicht in: | Advanced Engineering Forum 2013-12, Vol.10 (Current Trends in Ergonomics), p.93-99 |
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| creator | Dawal, Siti Zawiah Md Bahreininejad, Ardeshir Abd Rahman, Nurul Izzah |
| description | A study is carried out to investigate the effects of driving environment on the mental workload of train drivers while driving. The driving task is performed under three environmental conditions, i.e. clear sunny day, rainy day and rainy night driving. Electroencephalography (EEG) measurements are recorded from the Fz and Pz channels of fifteen male subjects aged between 24 to 48 years old. The mean alpha power is monitored as a function of time as this signal reflects the variations in mental workload of the drivers. The results exhibit that the signal pattern for rainy night driving condition is significantly different compared to others. This finding indicates that the train drivers show an increase in mental workload after six minutes of driving under rainy night condition. The results demonstrate a percentage difference in mean alpha power of 37% between daytime and rainy night driving conditions during the early periods of driving. This indicates that the mental workload of train drivers tends to be low with an increased level of sleepiness under such conditions, which are signs of low vigilance. |
| doi_str_mv | 10.4028/www.scientific.net/AEF.10.93 |
| format | Article |
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The driving task is performed under three environmental conditions, i.e. clear sunny day, rainy day and rainy night driving. Electroencephalography (EEG) measurements are recorded from the Fz and Pz channels of fifteen male subjects aged between 24 to 48 years old. The mean alpha power is monitored as a function of time as this signal reflects the variations in mental workload of the drivers. The results exhibit that the signal pattern for rainy night driving condition is significantly different compared to others. This finding indicates that the train drivers show an increase in mental workload after six minutes of driving under rainy night condition. The results demonstrate a percentage difference in mean alpha power of 37% between daytime and rainy night driving conditions during the early periods of driving. 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The driving task is performed under three environmental conditions, i.e. clear sunny day, rainy day and rainy night driving. Electroencephalography (EEG) measurements are recorded from the Fz and Pz channels of fifteen male subjects aged between 24 to 48 years old. The mean alpha power is monitored as a function of time as this signal reflects the variations in mental workload of the drivers. The results exhibit that the signal pattern for rainy night driving condition is significantly different compared to others. This finding indicates that the train drivers show an increase in mental workload after six minutes of driving under rainy night condition. The results demonstrate a percentage difference in mean alpha power of 37% between daytime and rainy night driving conditions during the early periods of driving. 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| fulltext | fulltext |
| identifier | ISSN: 2234-9898 |
| ispartof | Advanced Engineering Forum, 2013-12, Vol.10 (Current Trends in Ergonomics), p.93-99 |
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| language | eng |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Scientific.net Journals; Alma/SFX Local Collection |
| subjects | Channels Driving conditions Electroencephalography Males Night Tasks Trains Workload |
| title | The Effects of Driving Environment on the Mental Workload of Train Drivers |
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