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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

Full Bibliographic Reference for this paper
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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