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dc.contributor.author | Jordán, Jaume | es_ES |
dc.contributor.author | Palanca Cámara, Javier | es_ES |
dc.contributor.author | Martí, Pasqual | es_ES |
dc.contributor.author | Julian, Vicente | es_ES |
dc.date.accessioned | 2023-05-29T18:02:40Z | |
dc.date.available | 2023-05-29T18:02:40Z | |
dc.date.issued | 2022-07-01 | es_ES |
dc.identifier.issn | 0957-4174 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/193710 | |
dc.description.abstract | [EN] The increasingly evident incorporation of the electric vehicle in urban environments is an already undeniable change. Electric vehicles are appearing on the market with more autonomy and lower prices, which is facilitating the progressive change of the vehicle fleet. However, the electric vehicle brings with it the need to provide enough charging stations distributed throughout the city, so that the autonomy of the vehicle is not a problem. This work presents how a genetic algorithm that analyzes the open data sources of a city is used to propose the most suitable locations for these stations. This proposal is the input for a series of experiments that simulate the impact that has the placement of these stations along the city, in order to measure the benefits of the solution proposed by the genetic algorithm. To do this, an agent-based simulation infrastructure was built around a fleet simulator. | es_ES |
dc.description.sponsorship | This work is partially supported by grant RTI2018-095390-B-C31 funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe''. Jaume Jordan is supported by grant IJC2020045683-I funded by MCIN/AEI/10.13039/501100011033 and by "European Union NextGenerationEU/PRTR''. Pasqual Marti is supported by grant ACIF/2021/259 funded by the "Conselleria de Innovacion, Universidades, Ciencia y Sociedad Digital de la Generalitat Valenciana''. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Expert Systems with Applications | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Genetic algorithm | es_ES |
dc.subject | Electric vehicle | es_ES |
dc.subject | Charging station | es_ES |
dc.subject | Mobility | es_ES |
dc.subject | Agent-based simulation | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Electric vehicle charging stations emplacement using genetic algorithms and agent-based simulation | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.eswa.2022.116739 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095390-B-C31/ES/HACIA UNA MOVILIDAD INTELIGENTE Y SOSTENIBLE SOPORTADA POR SISTEMAS MULTI-AGENTES Y EDGE COMPUTING/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//ACIF%2F2021%2F259//TECNICAS INTELIGENTES PARA LA OPTIMIZACION Y SOSTENIBILIDAD DE LA MOVILIDAD URBANA/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//IJC2020-045683-I/ | es_ES |
dc.rights.accessRights | Embargado | es_ES |
dc.date.embargoEndDate | 2024-07-01 | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica | es_ES |
dc.description.bibliographicCitation | Jordán, J.; Palanca Cámara, J.; Martí, P.; Julian, V. (2022). Electric vehicle charging stations emplacement using genetic algorithms and agent-based simulation. Expert Systems with Applications. 197:1-15. https://doi.org/10.1016/j.eswa.2022.116739 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.eswa.2022.116739 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 15 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 197 | es_ES |
dc.relation.pasarela | S\457110 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | GENERALITAT VALENCIANA | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Ministerio de Educación y Ciencia e Innovación | es_ES |
dc.subject.ods | 07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos | es_ES |
dc.subject.ods | 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación | es_ES |
dc.subject.ods | 11.- Conseguir que las ciudades y los asentamientos humanos sean inclusivos, seguros, resilientes y sostenibles | es_ES |
dc.subject.ods | 13.- Tomar medidas urgentes para combatir el cambio climático y sus efectos | es_ES |