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作 者:Alberte Castro Gerardo Casal Duarte Santamarina Miguel E.Vázquez‑Méndez
机构地区:[1]Transportation and Infrastructure Engineering,Universidade de Santiago de Compostela,EPSE,Rúa Benigno Ledo,27002 Lugo,Spain [2]Department of Applied Mathematics,Universidade de Santiago de Compostela,EPSE,Rúa Benigno Ledo,27002 Lugo,Spain [3]CITMAga,Rúa de Constantino Candeira,15782 Santiago de Compostela,Spain
出 处:《Railway Engineering Science》2025年第1期62-78,共17页铁道工程科学(英文版)
基 金:founded by project TED2021129324B-I00 of the Ministerio de Ciencia e Innovación(Spain)and NextGenerationEU(European Union);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;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.
摘 要: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.
关 键 词:Railway horizontal alignment Geometrical model Constrained optimization problem Numerical resolution
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