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ISSN 2753-3239
CCC: 1
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
Edited by: J. Pombo
Paper 27.16

Systematic Mapping of Research on Railway Track Superstructure Condition Monitoring 2016-2021

F. Carlvik1, A. Lau1 and G.T. Frøseth2

1Civil and Environmental Engineering, NTNU, Trondheim, Norway
2Structural Engineering, NTNU, Trondheim, Norway

Full Bibliographic Reference for this paper
F. Carlvik, A. Lau, G.T. Frøseth, "Systematic Mapping of Research on Railway Track Superstructure Condition Monitoring 2016-2021", 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 27.16, 2022, doi:10.4203/ccc.1.27.16
Keywords: systematic mapping, review, railway track, monitoring.

Abstract
A systematic mapping on the research within railway track condition monitoring has been performed for the years 2016 to 2021. The method of literature review is repeatable and systematic; allowing for more papers to be assessed compared to a systematic literature review. 166 papers were analysed, where information regarding sensors as well as method of data collection was collected. Sensor methods have predominantly been accelerometer based and vision based. Track-following methods, especially vehicle borne sensors have been more popular than specific trackside measurements. Although in-service vehicles were more popular than specific track geometry vehicles, many authors did not present the type of vehicle used, indicating that this was not an important point to make for those authors. The use of in-service vehicles has the potential to increase the amount of data collected and maximize track availability even during measurement campaigns. Regarding accelerometers on track following vehicles, both the car-body and axle-box were popular locations of the sensors. The suspension systems between axle-box and car-body filters high frequency input, perhaps making the car-body position more suitable for long wavelength irregularities, and the axle-box better for short wavelength irregularities. The fact that there is no clear preference toward either location indicates that there is no method that is best practice for all types of track superstructure irregularities. In future work, one may evaluate the monitoring system’s ability to assess degradation of the track superstructure over time, as well as investigating the use of measurement results as support for maintenance decisions. The first topic would aid in the assessment of the severity of the degradation and risk of failure. The latter topic would increase insight into the value of information for track monitoring measurements in structural health monitoring.

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