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H. Xu¹, Q. Mao^1,2, K. Zhang³, Y. Shi^1,4, T. Wang¹, Y. Mu² and G. Wang¹

¹School of Remote Sensing and Information Engineering, Wuhan University, China
², Hubei luojia laboratory, Wuhan, China
³, Wuhan Hanning Rail Transit Technology Corporation Limited, China
⁴State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, China

doi:10.4203/ccc.15.12.3

H. Xu, Q. Mao, K. Zhang, Y. Shi, T. Wang, Y. Mu, G. Wang, "Ballast Volume Assessment for Ballasted Railways Based on Mobile Laser Scanning System", in J. Pombo, (Editor), "Proceedings of the Seventh International Conference on Railway Technology: Research, Development and Maintenance ", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 15, Paper 12.3, 2026, doi:10.4203/ccc.15.12.3

Keywords: ballasted railway, ballast volume, mobile measurement, mobile laser scanning, point cloud, volume computation.

Abstract

This paper proposes a method for evaluating ballast volume on ballasted railway using a mobile laser scanning system. To address volumetric measurement tasks in dynamic environments, a reversed clothing simulation filtering is employed to extract the cross-sections of track bed. A decision-tree-driven method is further developed to identify the design ballast bed sections. Iterative closest point method is used to align the measured cross-sections with the design cross-sections based on the matched rails. An evaluation framework incorporating confidence intervals from adjacent cross-sections is established, enabling accurate and robust estimation of ballast volume. Experimental results demonstrate that the proposed method achieves a relative measurement accuracy better than 4.04%, with a maximum deviation of only 2.68% in volume estimation. Data acquisition can be performed under dynamic conditions with a mobile platform operating at speeds of 2-10 km/h, while maintaining a relative accuracy better than 5%. The proposed approach enables high-precision mobile measurement based on an electrically powered platform and a scanning system, significantly improving both accuracy and stability in ballast volume assessment.

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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: 15 PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 12.3 Ballast Volume Assessment for Ballasted Railways Based on Mobile Laser Scanning System H. Xu¹, Q. Mao^1,2, K. Zhang³, Y. Shi^1,4, T. Wang¹, Y. Mu² and G. Wang¹ ¹School of Remote Sensing and Information Engineering, Wuhan University, China ², Hubei luojia laboratory, Wuhan, China ³, Wuhan Hanning Rail Transit Technology Corporation Limited, China ⁴State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, China doi:10.4203/ccc.15.12.3 Full Bibliographic Reference for this paper H. Xu, Q. Mao, K. Zhang, Y. Shi, T. Wang, Y. Mu, G. Wang, "Ballast Volume Assessment for Ballasted Railways Based on Mobile Laser Scanning System", in J. Pombo, (Editor), "Proceedings of the Seventh International Conference on Railway Technology: Research, Development and Maintenance ", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 15, Paper 12.3, 2026, doi:10.4203/ccc.15.12.3 Keywords: ballasted railway, ballast volume, mobile measurement, mobile laser scanning, point cloud, volume computation. Abstract This paper proposes a method for evaluating ballast volume on ballasted railway using a mobile laser scanning system. To address volumetric measurement tasks in dynamic environments, a reversed clothing simulation filtering is employed to extract the cross-sections of track bed. A decision-tree-driven method is further developed to identify the design ballast bed sections. Iterative closest point method is used to align the measured cross-sections with the design cross-sections based on the matched rails. An evaluation framework incorporating confidence intervals from adjacent cross-sections is established, enabling accurate and robust estimation of ballast volume. Experimental results demonstrate that the proposed method achieves a relative measurement accuracy better than 4.04%, with a maximum deviation of only 2.68% in volume estimation. Data acquisition can be performed under dynamic conditions with a mobile platform operating at speeds of 2-10 km/h, while maintaining a relative accuracy better than 5%. The proposed approach enables high-precision mobile measurement based on an electrically powered platform and a scanning system, significantly improving both accuracy and stability in ballast volume assessment. download the full-text of this paper (PDF, 15 pages, 1103 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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