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O. Olaby¹, M. Samra², M. Hamadache¹ and R. Dixon¹

¹Birmingham Centre for Railway Research and Education, University of Birmingham, United Kingdom
²Intelligent Mobility and Smart Technologies Practice, Atkins, United Kingdom

doi:10.4203/ccc.1.10.10

O. Olaby, M. Samra, M. Hamadache, R. Dixon, "Modelling of an Accurate Positioning System Using RFID Technology for Enhanced Railway Track Maintenance", 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 10.10, 2022, doi:10.4203/ccc.1.10.10

Keywords: railway, track switch and crossing, RFID technology, positioning system.

Abstract

This paper focuses on modelling a new positioning system that aims to locate the Track Recording Vehicle (TRV), in reference to the locations of the switch and crossing (S&C) using RFID technology. The paper details the models of the three subsystems that constitute the whole proposed positioning system, developed using the Systems Modelling Language (SysML™), and their internal and external interactions as part of the railway network. The idea is to install two RFID tags for each switching and crossing node, one on the switch-toe sleeper and the second will be on the crossing-nose sleeper. Whereas the RFID reader is expected to be mounted underneath the TRV vehicle. Thus, the key features of the S&C, the switch toe and crossing nose, will be considered as a definitive reference point for the inspection vehicle’s position. When the TRV passes over an S&C, the positioning system will provide information about the S&C’s ID, which is stored inside the RFID tags and will indicate the S&C’s GPS coordinates. The new methodology is expected to be adopted by a digital asset management system that locates faulty infrastructure, especially the S&C units, more accurately which allows for enhanced maintenance practice.

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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 10.10 Modelling of an Accurate Positioning System Using RFID Technology for Enhanced Railway Track Maintenance O. Olaby¹, M. Samra², M. Hamadache¹ and R. Dixon¹ ¹Birmingham Centre for Railway Research and Education, University of Birmingham, United Kingdom ²Intelligent Mobility and Smart Technologies Practice, Atkins, United Kingdom doi:10.4203/ccc.1.10.10 Full Bibliographic Reference for this paper O. Olaby, M. Samra, M. Hamadache, R. Dixon, "Modelling of an Accurate Positioning System Using RFID Technology for Enhanced Railway Track Maintenance", 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 10.10, 2022, doi:10.4203/ccc.1.10.10 Keywords: railway, track switch and crossing, RFID technology, positioning system. Abstract This paper focuses on modelling a new positioning system that aims to locate the Track Recording Vehicle (TRV), in reference to the locations of the switch and crossing (S&C) using RFID technology. The paper details the models of the three subsystems that constitute the whole proposed positioning system, developed using the Systems Modelling Language (SysML™), and their internal and external interactions as part of the railway network. The idea is to install two RFID tags for each switching and crossing node, one on the switch-toe sleeper and the second will be on the crossing-nose sleeper. Whereas the RFID reader is expected to be mounted underneath the TRV vehicle. Thus, the key features of the S&C, the switch toe and crossing nose, will be considered as a definitive reference point for the inspection vehicle’s position. When the TRV passes over an S&C, the positioning system will provide information about the S&C’s ID, which is stored inside the RFID tags and will indicate the S&C’s GPS coordinates. The new methodology is expected to be adopted by a digital asset management system that locates faulty infrastructure, especially the S&C units, more accurately which allows for enhanced maintenance practice. download the full-text of this paper (PDF, 902 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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