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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 10.20
Track curvature pre-scanning measurement algorithm and spatial lag mechanism analysis S. Tian, C. Xiao, X. Luo and J.Zhou
Institute of Rail Transit, Tongji University, Shanghai, People’s Republic of China S. Tian, C. Xiao, X. Luo, J.Zhou, "Track curvature pre-scanning measurement
algorithm and spatial lag mechanism analysis", 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 10.20, 2022, doi:10.4203/ccc.1.10.20
Keywords: track curvature measurement, pre-scanning, geometric inertia effect,
spatial correction equation.
Abstract
Obtaining the track curvature in real time can provide key input parameters for many
active control technologies of railway vehicle. It is an effective way to completely
solve the problem of signal time delay to obtain the image of the front track through
camera and pre-scanning the curvature. Therefore, a pre-scanning algorithm was
proposed to map the track curvature through the lateral offset of the track centre line.
Then, the lag mechanism of the measured curvature relative to the curvature at the
pre-scanning point was further explored: because the virtual vehicle body formed by
the pre-scanning point introduces geometric inertia effect (GIE). Then, the spatial
correction equation between the measured curvature and the actual curvature was
given. Finally, the above conclusions were verified by SIMPACK and MATLAB.
The above research results can provide some theoretical reference for the application
of vision technology in the field of track curvature measurement.
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