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Impact of Symmetric Vertical Sinusoid Alignments on Infrastructure Construction Costs: Optimizing Energy Consumption in Metropolitan Railway Lines Using Artificial Neural Networks

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Impact of Symmetric Vertical Sinusoid Alignments on Infrastructure Construction Costs: Optimizing Energy Consumption in Metropolitan Railway Lines Using Artificial Neural Networks

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dc.contributor.author Pineda-Jaramillo, J. es_ES
dc.contributor.author Salvador Zuriaga, Pablo es_ES
dc.contributor.author Martínez Fernández, Pablo es_ES
dc.contributor.author Insa Franco, Ricardo es_ES
dc.date.accessioned 2021-03-03T04:31:56Z
dc.date.available 2021-03-03T04:31:56Z
dc.date.issued 2020-09 es_ES
dc.identifier.issn 2199-6687 es_ES
dc.identifier.uri http://hdl.handle.net/10251/162863
dc.description.abstract [EN] Minimizing energy consumption is a key issue from both an environmental and economic perspectives for railways systems; however, it is also important to reduce infrastructure construction costs. In the present work, an artificial neural network (ANN) was trained to estimate the energy consumption of a metropolitan railway line. This ANN was used to test hypothetical vertical alignments scenarios, proving that symmetric vertical sinusoid alignments (SVSA) can reduce energy consumption by up to 18.4% compared with a flat alignment. Finally, we analyzed the impact of SVSA application on infrastructure construction costs, considering different scenarios based on top-down excavation methods. When balancing reduction in energy consumption against infrastructure construction costs between SVSA and flat alignment, the extra construction costs due to SVSA have a return period of 25-300 years compared with a flat alignment, depending on the soil type and construction method used. Symmetric vertical sinusoid alignment layouts are thus suitable for scattered or soft soils, up to compacted intermediate geomaterials. es_ES
dc.description.sponsorship This paper was realized thanks to the collaboration agreement signed between Ferrocarrils de la Generalitat Valenciana and Universitat Politecnica de Valencia, and funding obtained by the Spanish Ministry of Economy and Competitiveness through the project ''Strategies for the design and energy-efficient operation of railway and tramway infrastructure'' (Ref. TRA2011-26602). es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation MINISTERIO DE ECONOMIA Y EMPRESA/TRA2011-26602 es_ES
dc.relation.ispartof Urban Rail Transit es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Infrastructure construction costs on railways es_ES
dc.subject Symmetric vertical sinusoid alignments es_ES
dc.subject Optimization of energy consumption es_ES
dc.subject Artificial neural networks (ANN) es_ES
dc.subject.classification INGENIERIA E INFRAESTRUCTURA DE LOS TRANSPORTES es_ES
dc.title Impact of Symmetric Vertical Sinusoid Alignments on Infrastructure Construction Costs: Optimizing Energy Consumption in Metropolitan Railway Lines Using Artificial Neural Networks es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s40864-020-00130-7 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería e Infraestructura de los Transportes - Departament d'Enginyeria i Infraestructura dels Transports es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto del Transporte y Territorio - Institut del Transport i Territori es_ES
dc.description.bibliographicCitation Pineda-Jaramillo, J.; Salvador Zuriaga, P.; Martínez Fernández, P.; Insa Franco, R. (2020). Impact of Symmetric Vertical Sinusoid Alignments on Infrastructure Construction Costs: Optimizing Energy Consumption in Metropolitan Railway Lines Using Artificial Neural Networks. Urban Rail Transit. 6(3):145-156. https://doi.org/10.1007/s40864-020-00130-7 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s40864-020-00130-7 es_ES
dc.description.upvformatpinicio 145 es_ES
dc.description.upvformatpfin 156 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 6 es_ES
dc.description.issue 3 es_ES
dc.relation.pasarela S\419244 es_ES
dc.contributor.funder Ministerio de Economía y Empresa es_ES


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