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Civil-Comp Conferences
ISSN 2753-3239
CCC: 1
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
Edited by: J. Pombo
Paper 5.10

A novel method for digital assessment of railway crossing degradation

J.J.J. Wegdam1,2 I.Y. Shevtsov2 and V.L. Markine1

1Railway Engineering, Delft University of Technology, Delft, The Netherlands
2ProRail, The Netherlands

Full Bibliographic Reference for this paper
J.J.J. Wegdam I.Y. Shevtsov, V.L. Markine, "A novel method for digital assessment of railway crossing degradation", 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 5.10, 2022, doi:10.4203/ccc.1.5.10
Keywords: crossing, geometry, point cloud.

Abstract
Crossings are important yet vulnerable parts of a railway network. This warrants that, in the Netherlands (a country with the highest traffic loads in the EU), crossing geometry is measured twice per year by dedicated measurement vehicles. This produces so much (point cloud) data that prioritizing and predicting is not possible by hand. It can be done by automating the assessments, by an automated process of three steps: aligning the rail cross sections, measuring degradation features, drawing conclusions from the features and visualizing/communicating the results to improve maintenance strategies. This paper encompasses the first two steps for the most common type of crossing (the 1:9 fixed UIC54 common crossing) and a case study for step three. The results show that the features yield useful information and insights for both prioritizing and predicting.

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