RT Journal Article
T1 A simple method for automatic recreation of railway horizontal alignments
A1 Castro Ponte, Alberte
A1 Casal Urcera, Gerardo
A1 Santamarina Ríos, Duarte
A1 Vázquez Méndez, Miguel Ernesto
K1 Railway horizontal alignment
K1 Geometrical model
K1 Constrained optimization problem
K1 Numerical resolution
AB This paper deals with the problem of recreating horizontal alignments of existing railway lines. The main objective is to propose a simple method for automatically obtaining optimized recreated alignments located as close as possible to an existing one. Based on a previously defined geometric model, two different constrained optimization problems are formulated. The first problem uses only the information provided by a set of points representing the track centerline while the second one also considers additional data about the existing alignment. The proposed methodology consists of a two-stage process in which both problems are solved consecutively using numerical techniques. The main results obtained applying this methodology are presented to show its performance and to prove its practical usefulness: an academic example used to compare with other methods, and a case study of a railway section located in Parga (Spain) in which the geometry of its horizontal alignment is successfully recovered.
PB Springer Nature
SN 2662-4745
YR 2024
FD 2024-10-21
LK https://hdl.handle.net/10347/37808
UL https://hdl.handle.net/10347/37808
LA eng
NO Castro, A., Casal, G., Santamarina, D. et al. A simple method for automatic recreation of railway horizontal alignments. Railw. Eng. Sci. (2024). https://doi.org/10.1007/s40534-024-00348-2
NO This work was founded by project TED2021-129324B-I00 of the Ministerio de Ciencia e Innovación (Spain) and NextGenerationEU (European Union), and also by the Collaboration Agreement between Consellería de Educación, Formación Profesional e Universidades (Xunta de Galicia, Spain) and Universidade de Santiago de Compostela (Spain) which regulates the Specialization Campus Campus Terra under Grant number 2022-PU014. Additionally, the first and third author are thankful for the support given by Xunta de Galicia (Spain) by means of the research projects 2023 GPC GI-2084 ED431B2023/17 and GRC GI-1563-ED431C 2021/15, respectively.
DS Minerva
RD 26 abr 2026