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Towards remote supervision and recovery of automated railway systems: The staff´s changing contribution to system resilience

Brandenburger, Niels und Naumann, Anja (2018) Towards remote supervision and recovery of automated railway systems: The staff´s changing contribution to system resilience. 2018 IEEE International Conference on Intelligent Rail Transportation, 2018-12-12 - 2018-12-14, Singapore. doi: 10.1109/ICIRT.2018.8641576.

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Kurzfassung

Rail automation in mainline operation raises questions about system resilience, because it goes along with increased technological and operational complexity, while ultimately discarding the train driver as front- line staff situated onboard the train. We argue in favor of keeping the layer of resilience associated with the train driver in the system through a train operator workplace that enables remote supervision, diagnosis and intervention of automated rolling stock out of a control center. Firstly, results from a simulator study featuring a prototypical remote workplace, developed in an iterative user- centered design process, show positive feedback in a sample of active German train drivers (n=20) in terms of acceptance ratings, usability assessment and perceived benefit to system resilience. Secondly, lower than optimal workload ratings in two experimental conditions of varying task load indicated free capacity for additional operational tasks throughout periods without direct manual interventions. Further insights on task load and workplace design as well as their limits are discussed, pointing out the direction for the next steps to be taken in the following design iterations. Future research needs to generate measures suitable for comparing system resilience between different grades of automation

elib-URL des Eintrags:https://elib.dlr.de/124805/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Towards remote supervision and recovery of automated railway systems: The staff´s changing contribution to system resilience
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Brandenburger, NielsNiels.Brandenburger (at) dlr.dehttps://orcid.org/0000-0003-0418-8365NICHT SPEZIFIZIERT
Naumann, AnjaAnja.Naumann (at) dlr.dehttps://orcid.org/0000-0002-5766-9907NICHT SPEZIFIZIERT
Datum:12 Dezember 2018
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
DOI:10.1109/ICIRT.2018.8641576
Status:veröffentlicht
Stichwörter:Rail Automation, Resilience, Remote Operation, Train Driver, Train Operator, Grade of Automation, Rail Human Factors,
Veranstaltungstitel:2018 IEEE International Conference on Intelligent Rail Transportation
Veranstaltungsort:Singapore
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:12 Dezember 2018
Veranstaltungsende:14 Dezember 2018
Veranstalter :IEEE
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Bodengebundener Verkehr (alt)
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V BF - Bodengebundene Fahrzeuge
DLR - Teilgebiet (Projekt, Vorhaben):V - Next Generation Train III (alt)
Standort: Braunschweig
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Human Factors
Hinterlegt von: Naumann, Anja
Hinterlegt am:11 Dez 2018 13:12
Letzte Änderung:24 Apr 2024 20:28

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