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Civil-Comp Conferences
ISSN 2753-3239
ISSN 2753-3239
CCC: 1
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
Edited by: J. Pombo
Paper 2.4
Assessing Immersive Analytics to Guide Decision-Making in the Railway Safety Sector
A. Rosli, S. Korkut, T. Inglese and J. Suter
University of Applied Sciences and Arts Northwestern Switzerland Olten, Switzerland
Suter Bahnkompetenz GmbH, Goldiwil, Switzerland
Full Bibliographic Reference for this paper
A. Rosli, S. Korkut, T. Inglese, J. Suter, "Assessing Immersive Analytics to Guide Decision-Making in the Railway Safety Sector", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance",
Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 1, Paper 2.4, 2022, doi:10.4203/ccc.1.2.4
Keywords: railway, safety, immersive analytics, 3D, visualizations.
Abstract
This short paper presents the research conducted on immersive analytics (IA) and proposes that IA can support decision making in the railway sector. The first section highlights the railway safety data challenges and the complexity of data visualizations. In the following sections, we present the design science research methodology, the created 3D IA prototype and experiment outcomes to evaluate the effects of IA in the railway safety sector. Lastly, we present the results and contributions of the IA experiments.
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