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Automation in Railway Operations: Effects on Signaller and Train Driver Workload

Brandenburger, Niels/ N.G. und Thomas- Friedrich, Birte und Naumann, Anja und Grippenkoven, Jan (2018) Automation in Railway Operations: Effects on Signaller and Train Driver Workload. In: Proceedings of the 3rd German Workshop on Rail Human Factors, Seiten 51-60. ITS Mobility. 3rd German Workshop on Rail Human Factors, 2018-04-17 - 2018-04-18, Brunswick, Germany. ISBN 978-3-937655-45-1.

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Kurzfassung

Throughout the railway domain, increasing levels of automation are employed to ensure safety and increase efficiency on the tracks. This impacts the task characteristics of the signaller and train driver. In a scenario of German railway automation, an automated interlocking system routes trains automatically and trains equipped with “ATO over ETCS” (“Automatic Train Operation over the European Train Control System”) automatically drive along the predefined routes adhering to speed restrictions. Thus, the task load of signallers and train drivers decreases, as manual inputs decline in favour of monitoring the functioning of automatic systems. Yet, it remains unclear whether decreasing task load directly lowers subjective workload. Additionally, the question of optimal workload levels has yet to be addressed. In order to ensure optimal performance, under- and overload are to be avoided. In previous studies on workload in railway operations, workload was assessed without considering an individual optimum of workload. In the simulator studies described in the paper, subjective workload was assessed with the goal of analysing the impact of automation on achieving an optimal workload level. In two separate studies with train drivers and signallers, subjective workload was assessed by two self-report measures (NASA-TLX and DLR-WAT) after participants completed periods of manual driving and driving with automated systems. Results consistently indicate lower subjective workload in the automated work settings for both signallers and train drivers. Interestingly, signaller workload was close to optimal subjective levels while train driver workload scores were considerably lower than optimal. This highlights the need for thoughtful introduction of automation into the train driver environment. Furthermore, the DLR-WAT differentiates between mental workload caused by the different stages of information processing. In train drivers and signallers, workload stemming from information perception seems to be more pronounced than workload stemming from mental operations occurring at later stages of information processing, especially in automatic work settings. Assessing workload relative to an individual optimum and differentiating causes of mental workload along the different stages of information processing offers unique insights into signaller and train driver workload. The results make it possible to ascertain, which specific aspects of the introduction of automation in the signaller and train driver tasks lead to lowered overall workload.

elib-URL des Eintrags:https://elib.dlr.de/119746/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Automation in Railway Operations: Effects on Signaller and Train Driver Workload
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Brandenburger, Niels/ N.G.niels.brandenburger (at) dlr.dehttps://orcid.org/0000-0003-0418-8365NICHT SPEZIFIZIERT
Thomas- Friedrich, BirteNICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Naumann, AnjaGerman Aerospace Center, Institute of Transportation SystemsNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Grippenkoven, JanGerman Aerospace Center, Institute of Transportation SystemsNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:April 2018
Erschienen in:Proceedings of the 3rd German Workshop on Rail Human Factors
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Seitenbereich:Seiten 51-60
Herausgeber:
HerausgeberInstitution und/oder E-Mail-Adresse der HerausgeberHerausgeber-ORCID-iDORCID Put Code
Milius, BirgitNICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Naumann, AnjaNICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Verlag:ITS Mobility
ISBN:978-3-937655-45-1
Status:veröffentlicht
Stichwörter:Rail Automation Human Factors Workload
Veranstaltungstitel:3rd German Workshop on Rail Human Factors
Veranstaltungsort:Brunswick, Germany
Veranstaltungsart:nationale Konferenz
Veranstaltungsbeginn:17 April 2018
Veranstaltungsende:18 April 2018
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Verkehrsmanagement (alt)
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V VM - Verkehrsmanagement
DLR - Teilgebiet (Projekt, Vorhaben):V - Next Generation Railway Systems III (alt)
Standort: Braunschweig
Institute & Einrichtungen:Institut für Verkehrssystemtechnik
Institut für Verkehrssystemtechnik > Human Factors
Hinterlegt von: Brandenburger, Niels
Hinterlegt am:26 Apr 2018 10:55
Letzte Änderung:24 Apr 2024 20:24

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