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dc.contributor.authorBarbecho Bautista, Pablo Andrés
dc.contributor.authorLemus Cárdenas, Leticia
dc.contributor.authorUrquiza Aguiar, Luis
dc.contributor.authorAguilar Igartua, Mónica
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Telemàtica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.date.accessioned2019-11-20T15:54:19Z
dc.date.available2021-09-19T00:29:18Z
dc.date.issued2019-12-01
dc.identifier.citationBarbecho, P. [et al.]. A traffic-aware electric vehicle charging management system for smart cities. "Vehicular Communication", 1 Desembre 2019, vol. 20, p. 100188:1-100188:14.
dc.identifier.issn2214-2096
dc.identifier.urihttp://hdl.handle.net/2117/172770
dc.description© <2019>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.description.abstractThe expected increase in the number of electric vehicles (EVs) in the coming years will contribute to reducing CO2 pollution in our cities. Currently, EVs' users may suffer from distress due to long charging service times and overloaded charging stations (CSs). Critical traffic conditions (e.g., traffic jams) affect EVs' trip time (TT) towards CSs and thus influence the total trip duration. With this concern, Intelligent transport systems (ITS) and more specifically connected vehicle technologies, can leverage an efficient real-time EV charging service by jointly considering CSs status and traffic conditions in the city. In this work, we propose a scheme to manage EVs' charging planning, focusing on the selection of a CS for the energy-requiring EV. The proposed scheme considers anticipated charging slots reservations performed through a vehicular ad hoc network (VANET), which has been regarded as a cost-efficient communication framework. In specific, we consider two aspects: 1) the EV's total trip time towards its destination considering an intermediate charging at each candidate CS, and 2) the communication delay of the VANET routing protocol. First, in order to estimate the EV's total trip time, our CS selection scheme takes into account the average road speed, traffic lights, and route distance, along the path of the EV. The optimal CS that produces the minimum total charging service time (including the TT) is suggested to that energy-requiring EV. Then, we introduce two communication modes based on geographical routing protocols for VANETs to attain an anticipated charging slot reservation. Simulation results show that with our charging scheme EVs' charging service time is reduced and more EVs are successfully charged.
dc.language.isoeng
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
dc.subjectÀrees temàtiques de la UPC::Energies::Energia elèctrica
dc.subject.lcshIntelligent transportation systems
dc.subject.lcshElectric vehicles
dc.subject.otherVANET
dc.subject.otherElectric vehicles (EVs)
dc.subject.otherSmart charging service
dc.subject.otherVehicle-to-vehicle applications
dc.subject.otherIntelligent transportation systems
dc.titleA traffic-aware electric vehicle charging management system for smart cities
dc.typeArticle
dc.subject.lemacSistemes de transport intel·ligent
dc.subject.lemacVehicles elèctrics
dc.contributor.groupUniversitat Politècnica de Catalunya. SISCOM - Smart Services for Information Systems and Communication Networks
dc.identifier.doi10.1016/j.vehcom.2019.100188
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/abs/pii/S2214209619302359
dc.rights.accessOpen Access
local.identifier.drac25878462
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//TEC2014-54335-C4-1-R/ES/MONITORIZACION DE INCIDENTES EN COMUNIDADES INTELIGENTES/
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/2PE/TEC2017-84197-C4-3-R
local.citation.authorBarbecho, P.; Lemus, L.; Urquiza, L.; Aguilar Igartua, M.
local.citation.publicationNameVehicular Communication
local.citation.volume20
local.citation.startingPage100188:1
local.citation.endingPage100188:14


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