Track Fine Adjustment Algorithm Considering Track Deviation Characteristics

MA Honglei; CHAI Hongzhou; ZHANG Hanyuan; WANG Min

doi:10.13203/j.whugis20220551

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Track Fine Adjustment Algorithm Considering Track Deviation Characteristics

Geodesy and Survey Engineering | 更新时间：2026-11-05

- Track Fine Adjustment Algorithm Considering Track Deviation Characteristics
- Geomatics and Information Science of Wuhan University Vol. 50, Issue 4, Pages: 699-705(2025)
- 作者机构：
  
  1.信息工程大学地理空间信息学院，河南郑州，450001
  2.广西宁铁测绘科技有限公司，广西南宁，530002
- 作者简介：
- 基金信息：
- DOI：10.13203/j.whugis20220551
  CLC： P258;TU196
- Received：21 December 2022，
  
  Published：05 April 2025
- 稿件说明：
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马洪磊,柴洪洲,章瀚元，等.顾及轨道偏差特征的轨道精调算法[J].武汉大学学报（信息科学版）,2025,50(4):699-705.

MA Honglei,CHAI Hongzhou,ZHANG Hanyuan,et al.Track Fine Adjustment Algorithm Considering Track Deviation Characteristics[J].Geomatics and Information Science of Wuhan University,2025,50(4):699-705.
马洪磊,柴洪洲,章瀚元，等.顾及轨道偏差特征的轨道精调算法[J].武汉大学学报（信息科学版）,2025,50(4):699-705. DOI：10.13203/j.whugis20220551

MA Honglei,CHAI Hongzhou,ZHANG Hanyuan,et al.Track Fine Adjustment Algorithm Considering Track Deviation Characteristics[J].Geomatics and Information Science of Wuhan University,2025,50(4):699-705. DOI：10.13203/j.whugis20220551

摘要

为保障铁路运营安全，需定期进行轨道几何状态检测和精调，以保持轨道的高平顺性。传统的以设计线形为基准的轨道精调方法存在诸多缺点，其中，如何提高轨道精调的效率和质量已成为轨道运营维护关注的热点问题之一。因此，利用轨道偏差在局部的空间相关性和全局的多极值等特征，采用三次样条曲线拟合轨道偏差曲线的主要特征，并将拟合线形作为轨道精调的基准线，使轨道精调充分顾及了轨道偏差特征。拟合误差验证了采用三次样条曲线拟合函数模型的正确性和可行性。轨道精调实例表明，与传统方法相比，利用所提方法计算的某段无砟轨道和有砟轨道的调整量分别下降了40.6%和46.7%，且精调结果完全合限，证明该算法可显著提高轨道精调的质量和效率，具有实用价值。

Abstract

Objectives

In order to ensure the safety of railway operation

it's necessary to regularly and accurately inspect and adjust the track to maintain track geometry. The function of track fine adjustment of railway is to eliminate track irregularities. The traditional track fine adjustment method of railway based on the design alignment has many shortcomings

of which

how to improve the efficiency and quality of track fine adjustment has become one of the hot issues of railway operation and maintenance.

Methods

The dominating characteristics of track deviation curve are fitted by cubic spline curve which takes advantages of the local spatial correlation and the global multi-extremum characteristics of track deviation curve. Then

the fitting curve is served as the zero line of track fine adjustment

so that the spatial correlation of track deviation is fully considered. The correctness and feasibility of cubic spline curve fitting functional model are verified by fitting error analysis.

Results

Two examples of track fine adjustment show that the total amount of track fine adjustment calculated by the proposed algorithm has decreased by 40.6% for a section of ballastless track and 46.7% for a section of ballasted track compared with the traditional method

and the adjustment result is completely qualified

demonstrating that the proposed algorithm is able to significantly improve the quality and efficiency of track adjustment

and is valuable in practice.

Conclusions

Even if the track deviations show randomness globally

spatial correlation is still significant locally. In addition

restricted by the design alignment of railway

track deviations are limited

leading to a multi-extremum characteristic. Therefore

considering track deviation characteristics are necessary in track fine adjustment. To this end

track fine adjustment algorithm considering track deviation characteristics is proposed

of which the outcomes are proved desirable. The proposed algorithm is worth popularizing in practice.

关键词

Keywords

references

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