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Enabling automatic train operation through human problem solving

Brandenburger, Niels/ N.G. and Naumann, Anja (2018) Enabling automatic train operation through human problem solving. SIGNAL + DRAHT, 3, pp. 6-13. DVV Media Group. ISSN 0037-4997

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Abstract

In future rail operations, the introduction of automatic train operations on main lines will be accompanied by questions concerning the role of the train driver in delivering a safe and punctual service every day. In this article, we advocate the symbiosis of automatic train operation and human decision-making in order to ensure the safety and efficiency of the service in an automated railway future. Increasing the amount of rolling stock on the tracks by means of automatic train operation while relying on unique human judgement and perception to maintain operations may bring together the best of both worlds.

Item URL in elib:https://elib.dlr.de/119748/
Document Type:Article
Title:Enabling automatic train operation through human problem solving
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Brandenburger, Niels/ N.G.niels.brandenburger (at) dlr.deUNSPECIFIED
Naumann, AnjaGerman Aerospace Center, Institute of Transportation SystemsUNSPECIFIED
Date:March 2018
Journal or Publication Title:SIGNAL + DRAHT
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:3
Page Range:pp. 6-13
Publisher:DVV Media Group
ISSN:0037-4997
Status:Published
Keywords:Rail; Automation; Human Factors; Remote Control; Degraded Operations
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Next Generation Railway Systems III (old)
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems
Institute of Transportation Systems > Human Factors
Deposited By: Brandenburger, Niels
Deposited On:26 Apr 2018 10:55
Last Modified:07 Aug 2019 09:51

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