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A neural network to measure train operators' compliance with driver assistance systems

Schnücker, Gina Nathalie and Naumann, Anja and Salge, Johannes (2024) A neural network to measure train operators' compliance with driver assistance systems. HFES Europe Chapter: Annual Meeting, 2024-04-17 - 2024-04-19, Lübeck, Deutschland.

Full text not available from this repository.

Official URL: https://www.hfes-europe.org/wp-content/uploads/2024/04/Poster-HFES-Luebeck_Schnuecker.pdf


Item URL in elib:https://elib.dlr.de/204681/
Document Type:Conference or Workshop Item (Poster)
Title:A neural network to measure train operators' compliance with driver assistance systems
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schnücker, Gina NathalieUNSPECIFIEDhttps://orcid.org/0009-0007-0712-2800161831353
Naumann, AnjaUNSPECIFIEDhttps://orcid.org/0000-0002-5766-9907161831354
Salge, JohannesUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:18 April 2024
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Human Factors, Rail, Driver Assistance Systems, Energy efficient driving, Neural Networks, Methods
Event Title:HFES Europe Chapter: Annual Meeting
Event Location:Lübeck, Deutschland
Event Type:international Conference
Event Start Date:17 April 2024
Event End Date:19 April 2024
Organizer:Human Factors and Ergonomics Society
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Rail Transport
DLR - Research area:Transport
DLR - Program:V SC Schienenverkehr
DLR - Research theme (Project):V - CaRe4Rail - Capacity and Resilience 4 Rail
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Design and Evaluation of Mobility Solutions, BA
Deposited By: Schnücker, Gina Nathalie
Deposited On:18 Jun 2024 09:35
Last Modified:18 Jun 2024 09:35

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