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Task-induced fatigue when implementing high grades of railway automation

Brandenburger, Niels and Naumann, Anja and Jipp, Meike (2019) Task-induced fatigue when implementing high grades of railway automation. Cognition, Technology and Work, 52, pp. 1-11. Springer. doi: 10.1007/s10111-019-00613-z. ISSN 1435-5558.

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The study was focused on the effects of different grades of railway automation on task-induced fatigue and workload in train drivers and, when considering high grades of automation, operational staff in a control centre, so-called train operators. Train operators remotely monitor and manually drive automated trains upon system request during disruptions. As the task environment substantially differs depending on the grade of automation, effects on task- induced fatigue and workload levels were expected. To quantify and compare these effects, a simulator study with professional train drivers (N = 32) was conducted and the grade of automation was manipulated experimentally between subjects according to the railway specific automation taxonomy. Fatigue was assessed by the Karolinska Sleepiness Scale prior to and after a simulated working period of 2 h. Workload was assessed using the NASA-TLX. The results showed (a) significantly increasing fatigue levels over time (b) significantly higher fatigue ratings as a result of working with an intermediate grade of automation in comparison to working with a high grade of automation. Workload scores were (c) significantly higher in the high grade of automation group. Consequently, the introduction of high grades of automation may be used to tackle longstanding fatigue issues associated with train driving. The role of workload and limitations of the current research are discussed and recommendations for future research and operating companies are provided.

Item URL in elib:https://elib.dlr.de/130564/
Document Type:Article
Title:Task-induced fatigue when implementing high grades of railway automation
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Brandenburger, NielsNiels.Brandenburger (at) dlr.dehttps://orcid.org/0000-0003-0418-8365
Naumann, AnjaAnja.Naumann (at) dlr.deUNSPECIFIED
Jipp, MeikeMeike.Jipp (at) dlr.deUNSPECIFIED
Date:November 2019
Journal or Publication Title:Cognition, Technology and Work
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1007/s10111-019-00613-z
Page Range:pp. 1-11
Keywords:Train driver · Train operator · Grades of automation · Remote operation · Fatigue · Rail automation · Rail human factors · Levels of automation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Rail Transport
DLR - Research area:Transport
DLR - Program:V SC Schienenverkehr
DLR - Research theme (Project):V - Digitalisierung und Automatisierung des Bahnsystems
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Human Factors
Deposited By: Brandenburger, Niels
Deposited On:20 Nov 2019 10:08
Last Modified:20 Nov 2019 10:08

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