The absolute mileage deviation calibration of high-speed railway track geometry dynamic inspection data serves as the basis for accurately evaluating track geometry and deeply studying the evolution laws of track geometry.Addressing the issue of insufficient calibration accuracy in current absolute mileage deviation of inspection data,this paper proposes a refined calibration method for absolute mileage of inspection data assisted by railway line curve ledger.Two Dynamic Time Warping(DTW)variant algorithms are used to achieve accurate calibration of inspection data mileage.Firstly,the Derivative Dynamic Time Warping(D-DTW)algorithm is used to coarsely match the inspection data with the railway line curve ledger data,facilitating the automatic segmentation of the inspection data.Then,the Shape Dynamic Time Warping(Shape-DTW)algorithm is used to realize the accurate alignment of the curve feature points of the superelevation channel data and the railway line curve ledger data in the segmented inspection data.Finally,the exact mileage of the curve feature points in the railway line curve ledger is mapped one-to-one to those in the superelevation channel data in the inspection data,so as to realize the fine calibration of the absolute mileage deviation in track geometry dynamic inspection data.The experimental results show that the maximum error of curve length extracted by this method is less than 0.8％on a high-speed railway track dynamic inspection data set.After calibration,the correlation index of multiple inspection data in the same railway line section outperforms that before calibration,which proves the efficacy of this method.
关键词
高速铁路/轨道几何/绝对里程偏差校准/里程偏差/曲线特征点/动态时间规整
Key words
High-speed railway/Track geometry/Absolute mileage calibration/Mileage deviation/Curve feature points/Dynamic Time Warping(DTW)
维普
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