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/ | ||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||
Titel: | Towards remote supervision and recovery of automated railway systems: The staff´s changing contribution to system resilience | ||||||||||||
Autoren: |
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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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