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dc.creatorCorlu, Canan Guneses_ES
dc.creatorTorre, Rocío de laes_ES
dc.creatorSerrano Hernández, Adriánes_ES
dc.creatorJuan, Ángel Alejandroes_ES
dc.creatorFaulín Fajardo, Javieres_ES
dc.date.accessioned2020-07-03T12:54:14Z
dc.date.available2020-07-03T12:54:14Z
dc.date.issued2020
dc.identifier.issn1996-1073
dc.identifier.urihttps://hdl.handle.net/2454/37306
dc.description.abstractFrom airplanes to electric vehicles and trains, modern transportation systems require large quantities of energy. These vast amounts of energy have to be produced somewhere—ideally by using sustainable sources—and then brought to the transportation system. Energy is a scarce and costly resource, which cannot always be produced from renewable sources. Therefore, it is critical to consume energy as efficiently as possible, that is, transportation activities need to be carried out with an optimal intake of energetic means. This paper reviews existing work on the optimization of energy consumption in the area of transportation, including road freight, passenger rail, maritime, and air transportation modes. The paper also analyzes how optimization methods—of both exact and approximate nature—have been used to deal with these energy-optimization problems. Finally, it provides insights and discusses open research opportunities regarding the use of new intelligent algorithms—combining metaheuristics with simulation and machine learning—to improve the efficiency of energy consumption in transportation.en
dc.description.sponsorshipThis work was partially supported by the Spanish Ministry of Science, Innovation, and Universities (RED2018-102642-T), and the following projects: IoF2020-H2020 (731884), La Caixa Foundation (LCF/PR/PR15/51100007), and AGAUR (2018-LLAV-00017).en
dc.format.extent33 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofEnergies, 2020, 13 (5), 1115en
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en
dc.subjectTransportation systemsen
dc.subjectOptimization problemsen
dc.subjectEfficient energy consumptionen
dc.subjectIntelligent algorithmsen
dc.subjectSustainabilityen
dc.titleOptimizing energy consumption in transportation: literature review, insights, and research opportunitiesen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. Inarbe - Institute for Advanced Research in Business and Economicses_ES
dc.contributor.departmentUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISC - Institute of Smart Citieses_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.3390/en13051115
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/731884en
dc.relation.publisherversionhttps://doi.org/10.3390/en13051115
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes


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