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T. Butcher¹, J. Lanigan¹, L. Schmandt² and R. Lewis¹

¹University of Sheffield, United Kingdom
²Chiltern Railways, Aylesbury Maintenance Depot, United Kingdom

doi:10.4203/ccc.1.21.21

T. Butcher, J. Lanigan, L. Schmandt, R. Lewis, "Development of a Model to Assess the Risk of Low Adhesion at Different Rail Sites", 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 21.21, 2022, doi:10.4203/ccc.1.21.21

Keywords: adhesion, leaf layer, model, autumn, prediction.

Abstract

A new low adhesion risk model has been developed which can be used to help better identify high-risk sites and tailor a risk-mitigation plan accordingly. A case study of the Chiltern Railways Company Limited network focusing on WSP activation data and vegetation surveys was carried out. To construct the model, locations on the network were analysed and scored for specifically chosen parameters relating to low adhesion (including tree factors, track information etc.). The outcomes were validated against the frequency of WSP activation. The resulting model is capable of predicting the level of risk for any precise GPS location, with the intention of enabling infrastructure managers and operators to plan enhanced rail cleaning strategies, vegetation management schemes or equivalent. Ultimately, this should improve Autumnal delay performance and ensure passenger safety is maintained throughout the year.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	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 21.21 Development of a Model to Assess the Risk of Low Adhesion at Different Rail Sites T. Butcher¹, J. Lanigan¹, L. Schmandt² and R. Lewis¹ ¹University of Sheffield, United Kingdom ²Chiltern Railways, Aylesbury Maintenance Depot, United Kingdom doi:10.4203/ccc.1.21.21 Full Bibliographic Reference for this paper T. Butcher, J. Lanigan, L. Schmandt, R. Lewis, "Development of a Model to Assess the Risk of Low Adhesion at Different Rail Sites", 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 21.21, 2022, doi:10.4203/ccc.1.21.21 Keywords: adhesion, leaf layer, model, autumn, prediction. Abstract A new low adhesion risk model has been developed which can be used to help better identify high-risk sites and tailor a risk-mitigation plan accordingly. A case study of the Chiltern Railways Company Limited network focusing on WSP activation data and vegetation surveys was carried out. To construct the model, locations on the network were analysed and scored for specifically chosen parameters relating to low adhesion (including tree factors, track information etc.). The outcomes were validated against the frequency of WSP activation. The resulting model is capable of predicting the level of risk for any precise GPS location, with the intention of enabling infrastructure managers and operators to plan enhanced rail cleaning strategies, vegetation management schemes or equivalent. Ultimately, this should improve Autumnal delay performance and ensure passenger safety is maintained throughout the year. download the full-text of this paper (PDF, 9 pages, 709 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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