Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/46704
DC FieldValueLanguage
dc.contributor.authorCosta, Ana Laura-
dc.contributor.authorCunha, Maria da Conceição-
dc.contributor.authorCoelho, Paulo A. L. F.-
dc.contributor.authorEinstein, Herbert H.-
dc.date.accessioned2018-01-23T22:35:07Z-
dc.date.available2018-01-23T22:35:07Z-
dc.date.issued2013-06-
dc.identifier.issn2473-2907por
dc.identifier.urihttps://hdl.handle.net/10316/46704-
dc.descriptionThe authors acknowledge the publisher in granting permission for making post-print version available in open access institutional repository.por
dc.description.abstractHigh-speed rail (HSR) networks require large investments, and the performance of the infrastructure is affected by varying local environments, while subject to tight layout restrictions. This paper presents a fully integrated three-dimensional model to optimize the HSR alignment at a planning scale, which sets boundaries for the final project design. The model considers mandatory and desirable specifics for the locations to link and the geometry in both the plan view and the longitudinal profile. It also allows one to define prohibited and restricted land-use areas. A computational tool has been developed that takes into account the problem specifics using a simulated annealing algorithm to optimize the problem solution. The capabilities of the model and the tool are demonstrated with the application to an intentionally simple and synthetic case study, considering construction costs and problem constraints, for which sound results are obtained. Both the model and the tool can be expanded to incorporate additional complexity, establishing the basis for real applications and for further integration of geotechnical and hydrological risk factors that affect the HSR performance.por
dc.language.isoengpor
dc.publisherAmerican Society of Civil Engineers (ASCE)por
dc.relationinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH/BD/43012/2008/PTpor
dc.rightsopenAccesspor
dc.subjectHigh-speed railpor
dc.subjectPlanningpor
dc.subjectOptimizationpor
dc.subjectDecision support systemspor
dc.titleSolving High-Speed Rail Planning with the Simulated Annealing Algorithmpor
dc.typearticle-
degois.publication.firstPage635por
degois.publication.lastPage642por
degois.publication.issue6por
degois.publication.titleJournal of Transportation Engineeringpor
dc.relation.publisherversionhttps://ascelibrary.org/doi/abs/10.1061/%28ASCE%29TE.1943-5436.0000542por
dc.peerreviewedyespor
dc.identifier.doi10.1061/(ASCE)TE.1943-5436.0000542por
degois.publication.volume139por
uc.controloAutoridadeSim-
item.openairetypearticle-
item.fulltextCom Texto completo-
item.languageiso639-1en-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.researchunitCITTA - Research Centre for Territory, Transports and Environment-
crisitem.author.orcid0000-0002-0903-785X-
crisitem.author.orcid0000-0001-6078-0393-
Appears in Collections:FCTUC Eng.Civil - Artigos em Revistas Internacionais
Files in This Item:
File Description SizeFormat
MC3.pdf2.65 MBAdobe PDFView/Open
Show simple item record

SCOPUSTM   
Citations

22
checked on Jul 15, 2024

WEB OF SCIENCETM
Citations 5

17
checked on Jul 2, 2024

Page view(s)

365
checked on Jul 16, 2024

Download(s) 50

511
checked on Jul 16, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.