A smoothness optimization method for horizontal alignment considering ballasted track maintenance

Jin, Shi; Zhang, Yuxiao; Chen, Yunfeng; Wang, Yingjie

doi:10.1111/mice.12884

Cited by 5 publications

(2 citation statements)

References 38 publications

(69 reference statements)

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“…Railway alignment design is a complicated pro-2 cess, which aims to determine the railway geomet-3 ric profiles [1,2] and structure configurations [3,4] be-4 tween two given points. This process takes into ac-5 count various factors such as topographic [5,6] and 6 geologic [7] conditions, alongside numerous hard-to-7 quantify objectives [8,9].…”

Section: Introductionmentioning

confidence: 99%

Railway alignment optimization in regions with densely-distributed obstacles based on semantic topological maps

Wan,

Pu,

Schonfeld

et al. 2024

ICA

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Railway alignment development in a study area with densely-distributed obstacles, in which regions favorable for alignments are isolated (termed an isolated island effect, i.e., IIE), is a computation-intensive and time-consuming task. To enhance search efficiency and solution quality, an environmental suitability analysis is conducted to identify alignment-favorable regions (AFRs), focusing the subsequent alignment search on these areas. Firstly, a density-based clustering algorithm (DBSCAN) and a specific criterion are customized to distinguish AFR distribution patterns: continuously-distributed AFRs, obstructed effects, and IIEs. Secondly, a study area characterized by IIEs is represented with a semantic topological map (STM), integrating between-island and within-island paths. Specifically, between-island paths are derived through a multi-directional scanning strategy, while within-island paths are optimized using a Floyd-Warshall algorithm. To this end, the intricate alignment optimization problem is simplified into a shortest path problem, tackled with conventional shortest path algorithms (of which Dijkstra’s algorithm is adopted in this work). Lastly, the proposed method is applied to a real case in a mountainous region with karst landforms. Numerical results indicate its superior performance in both construction costs and environmental suitability compared to human designers and a prior alignment optimization method.

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Section: Introductionmentioning

confidence: 99%

Railway alignment optimization in regions with densely-distributed obstacles based on semantic topological maps

Wan,

Pu,

Schonfeld

et al. 2024

ICA

View full text Add to dashboard Cite

show abstract

“…Camacho-Torregrosa et al (2015) verified that the heading profile is less noisy, compared to the curvature profile, and even small changes in the headings can be detected. Shi et al (2022) used the versine to preliminarily identify alignment components. Song et al (2021) proposed a statistical deflection angle method to segment data points into their geometric components in a vertical alignment as shown in Figure 1d.…”

Section: Introductionmentioning

confidence: 99%

Two algorithms for reconstructing vertical alignments exploring the neural dynamics model of Adeli and Park

Song,

Chen,

Schonfeld

et al. 2023

Computer aided Civil Eng

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Vertical alignment reconstruction obtains alignment parameters by fitting geometric components to a set of measured points representing the profile of an existing road or railroad, which is essential in alignment consistency analysis and maintenance to ensure safety and comfort. The neural dynamics model of Adeli and Park is explored and improved for reconstructing vertical alignments with constraints. The structure of the dynamics model is modified to include three layers: parameter layer, intermediate layer, and energy layer. The number of nodes in the parameter or intermediate layers corresponds to the number of independent parameters defining a vertical alignment. The number of nodes in the energy layer is the sum of the number of deviations and the number of constraints in the alignment reconstruction problem. The coefficients connecting nodes between the parameter layer and the intermediate layer determine the integral operations, which define the Levenberg–Marquardt algorithm of the dynamics model (LMADM) and the steepest descent algorithm of the dynamics model (SDADM). Both the LMADM and SDADM methods satisfy the Lyapunov stability theorem, but the LMADM method outperforms the SDADM method in its objective function value and computation time. Experiment results demonstrate that there are multiple local optima for a vertical alignment reconstruction, and the solutions obtained by the LMADM method are the best obtained so far, compared with those reported in the literature, with 57.1% and 23.4% decreases of the mean squared error for the highway and the railroad examples, respectively.

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A smoothness control method for kilometer‐span railway bridges with analysis of track characteristics

Zhang,

Shi,

Tan

et al. 2024

Computer aided Civil Eng

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Significant dynamic deformations during the operation of kilometer‐span high‐speed railway bridges adversely affect track maintenance. This paper proposes a three‐stage smoothness control method based on a comprehensive analysis of track alignment characteristics to address this issue. In the method, historical measured data are grouped into multicategories, and reference alignments for each category are reconstructed. Then, the reference alignment category to which the track to be adjusted belongs is accurately matched. Finally, a novel smoothness optimization algorithm is designed to use the 60 m chord as the optimization unit, and the 10 m and 30 m combined chords within the unit constrain the midchord offset and vector distance difference. The proposed method was applied to formulate the maintenance scheme for the Shanghai–Suzhou–Nantong Yangtze River Bridge. The result indicates that the track smoothness improved by more than 79.7%, and the high‐speed train operational performance improved by over 64.3%, effectively enhancing the maintenance quality.

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A smoothness optimization method for horizontal alignment considering ballasted track maintenance

Cited by 5 publications

References 38 publications

Railway alignment optimization in regions with densely-distributed obstacles based on semantic topological maps

Railway alignment optimization in regions with densely-distributed obstacles based on semantic topological maps

Two algorithms for reconstructing vertical alignments exploring the neural dynamics model of Adeli and Park

A smoothness control method for kilometer‐span railway bridges with analysis of track characteristics

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