Mostrar el registro sencillo

dc.contributor.authorRobles Urquijo, Ignacio 
dc.contributor.authorCobo García, Adolfo 
dc.contributor.authorRodríguez Cobo, Luis 
dc.contributor.authorQuintela Incera, María Ángeles 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-02-22T16:19:03Z
dc.date.available2024-02-22T16:19:03Z
dc.date.issued2023
dc.identifier.issn2352-1465
dc.identifier.issn2352-1457
dc.identifier.otherPID2019-107270RB-C21es_ES
dc.identifier.otherPDC2021-121172-C22es_ES
dc.identifier.urihttps://hdl.handle.net/10902/31896
dc.description.abstractDistributed Acoustic Sensing (DAS) techniques with Optical Fibers are able to provide a wide range of data for very long distances. The technique is used for monitoring purposes on the energy sector (i.e.: oil &gas pipes, electricity transport lines, etc..), where the resiliency of the infrastructure linear layout is low, and the associated loss-of-service costs are high. The significant cost barriers of the technology are changing due to the scientific advances and the economy of scale effects; however, the use within the road transport engineering is still not widespread and limited to specific applications. This work explores the cost-benefit analysis of using the DAS technique for transport engineering, including a sensitivity analysis on the foreseeable cost reductions and technical characteristics of the technology applied to planning, operation and maintenance purposes. The real options of installing new fiber optic layout vs using dark fiber networks is also analysed and compared to the use of standard ITS systems.es_ES
dc.description.sponsorshipWe thank the support of PID2019-107270RB-C21 (funded by MCIN/ AEI/ 10.13039/501100011033) and PDC2021-121172-C22 funded by MCIN/AEI /10.13039 /501100011033 and European Union Next Generation EU/PRTR. Our sincere gratitude Alayn Loayssa (Public University of Navarra), Victor Centeno (WSP) and to William Fawcett, Ian Ellinghan, Martin Hughes, Lars Mikalsen and the CILECCTA project (FP7-NMP 229061) for the LCC and Real Options methodology.es_ES
dc.format.extent8 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceTransportation Research Procedia, 2023, 71, 323-330es_ES
dc.sourceXV Transport Engineering Congress = Congreso de Ingeniería del Transporte (CIT), San Cristóbal de la Laguna, 2023es_ES
dc.subject.otherDASes_ES
dc.subject.otherDistributed acoustic sensinges_ES
dc.subject.otherITSes_ES
dc.subject.otherReal optionses_ES
dc.titleReal options of distributed DAS sensing applied to road transport engineeringes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.relation.publisherVersionhttps://doi.org/10.1016/j.trpro.2023.11.091es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1016/j.trpro.2023.11.091
dc.type.versionpublishedVersiones_ES


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo

Attribution-NonCommercial-NoDerivatives 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International