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

Brandenburger, Niels and 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, 12.-14. Dez. 2018, Singapore.

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Abstract

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

Item URL in elib:https://elib.dlr.de/124805/
Document Type:Conference or Workshop Item (Speech)
Title:Towards remote supervision and recovery of automated railway systems: The staff´s changing contribution to system resilience
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Brandenburger, NielsNiels.Brandenburger (at) dlr.dehttps://orcid.org/0000-0003-0418-8365
Naumann, AnjaAnja.Naumann (at) dlr.deUNSPECIFIED
Date:12 December 2018
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Rail Automation, Resilience, Remote Operation, Train Driver, Train Operator, Grade of Automation, Rail Human Factors,
Event Title:2018 IEEE International Conference on Intelligent Rail Transportation
Event Location:Singapore
Event Type:international Conference
Event Dates:12.-14. Dez. 2018
Organizer:IEEE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Terrestrial Vehicles (old)
DLR - Research area:Transport
DLR - Program:V BF - Bodengebundene Fahrzeuge
DLR - Research theme (Project):V - Next Generation Train III (old)
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Human Factors
Deposited By: Naumann, Anja
Deposited On:11 Dec 2018 13:12
Last Modified:11 Dec 2018 13:12

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