Assessing immersive analytics to guide decision-making in the railway safety sector
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Author (Corporation)
Publication date
2022
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editors
Editor (Corporation)
Supervisor
Parent work
Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance
Special issue
DOI of the original publication
Link
Series
Civil-Comp Conferences
Series number
Volume
Issue / Number
Pages / Duration
2.4
Patent number
Publisher / Publishing institution
Civil-Comp Press
Place of publication / Event location
Montpellier
Edition
Version
Programming language
Assignee
Practice partner / Client
Keywords
Subject (DDC)
Event
Fifth International Conference on Railway Technology: Research, Development and Maintenance
Exhibition start date
Exhibition end date
Conference start date
22.08.2022
Conference end date
25.08.2022
Date of the last check
ISBN
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the abstract
Open access category
Green
License
Citation
Rosli, A., Korkut, S., Inglese, T., & Suter, J. (2022). Assessing immersive analytics to guide decision-making in the railway safety sector. In J. Pombo (Ed.), Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance (p. 2). Civil-Comp Press. https://doi.org/10.4203/ccc.1.2.4