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dc.contributor.author | do C. Martins, Leandro![]() |
es_ES |
dc.contributor.author | Tordecilla, Rafael D.![]() |
es_ES |
dc.contributor.author | Castaneda, Juliana![]() |
es_ES |
dc.contributor.author | Juan, Angel A.![]() |
es_ES |
dc.contributor.author | Faulin, Javier![]() |
es_ES |
dc.date.accessioned | 2023-10-31T19:01:17Z | |
dc.date.available | 2023-10-31T19:01:17Z | |
dc.date.issued | 2021-08 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/199069 | |
dc.description.abstract | [EN] The increasing use of electric vehicles in road and air transportation, especially in last-mile delivery and city mobility, raises new operational challenges due to the limited capacity of electric batteries. These limitations impose additional driving range constraints when optimizing the distribution and mobility plans. During the last years, several researchers from the Computer Science, Artificial Intelligence, and Operations Research communities have been developing optimization, simulation, and machine learning approaches that aim at generating efficient and sustainable routing plans for hybrid fleets, including both electric and internal combustion engine vehicles. After contextualizing the relevance of electric vehicles in promoting sustainable transportation practices, this paper reviews the existing work in the field of electric vehicle routing problems. In particular, we focus on articles related to the well-known vehicle routing, arc routing, and team orienteering problems. The review is followed by numerical examples that illustrate the gains that can be obtained by employing optimization methods in the aforementioned field. Finally, several research opportunities are highlighted. | es_ES |
dc.description.sponsorship | This work has been partially supported by the Spanish Ministry of Science, Innovation, and Universities (PID2019-111100RB-C21-C22/AEI/10.13039/501100011033, RED2018-102642-T), the SEPIE Erasmus+Program (2019-I-ES01-KA103-062602), and the IoF2020-H2020 (731884) project. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Energies | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Electric batteries | es_ES |
dc.subject | Vehicle routing problem | es_ES |
dc.subject | Arc routing problem | es_ES |
dc.subject | Team orienteering problem | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.title | Electric vehicle routing, arc routing, and team orienteering problems in sustainable transportation | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/en14165131 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/Agencia Estatal de Investigación//RED2018-102642-T//Spanish Network in Intelligent and Sustainable Transportation . Spanish Ministry of Science, Innovation, and Universities/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111100RB-C21/ES/ALGORITMOS AGILES, INTERNET DE LAS COSAS, Y ANALITICA DE DATOS PARA UN TRANSPORTE SOSTENIBLE EN CIUDADES INTELIGENTES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111100RB-C22/ES/MODELOS SOSTENIBLES Y ANALITICA DEL TRASPORTE EN CIUDADES INTELIGENTES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC// IoF2020-H2020 (731884)//Internet of Food and Farm 2020/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/731884/EU | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/Erasmus+//2019-I-ES01- KA103-062602/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi | es_ES |
dc.description.bibliographicCitation | Do C. Martins, L.; Tordecilla, RD.; Castaneda, J.; Juan, AA.; Faulin, J. (2021). Electric vehicle routing, arc routing, and team orienteering problems in sustainable transportation. Energies. 14(16):1-30. https://doi.org/10.3390/en14165131 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/en14165131 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 30 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 14 | es_ES |
dc.description.issue | 16 | es_ES |
dc.identifier.eissn | 1996-1073 | es_ES |
dc.relation.pasarela | S\500816 | es_ES |
dc.contributor.funder | Erasmus+ | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |