A User-Preference-Based Charging Station Recommendation for Electric Vehicles

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dc.authoridHabbal, Adib/0000-0002-3939-2609
dc.contributor.authorHabbal, Adib
dc.contributor.authorAlrifaie, Mohammed F.
dc.date.accessioned2024-09-29T16:04:31Z
dc.date.available2024-09-29T16:04:31Z
dc.date.issued2024
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe popularity of electric vehicles (EVs) is increasing, leading to higher demand for electric vehicle charging stations (EVCS). It is crucial to select an appropriate charging station based on user preferences; however, current selection solutions are limited and primarily focus on proximity or price. Such an approach neglects other significant factors of interest to EV users, namely charging time, waiting time, charging cost, and available facilities near the EVCS. To address this issue, this paper proposes a novel recommendation scheme, the User-Preferences based Charging Station Recommendation Scheme (UPCSRS), which integrates user preferences with Multiple Attribute Decision Making (MADM) theory to suggest the best available charging stations for EV users. UPCSRS consists of two parts: adopting Analytical Hierarchical Process (AHP) for weighting the importance of each selection criterion and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for ranking available charging stations. A mathematical model of the proposed scheme was developed, and then the effectiveness and accuracy were evaluated using MATLAB and a real dataset from the US Department of Energy website. Results showed that this proposed scheme provides more precise and personalized recommendations for users compared to current solutions that only consider the nearest or cheapest option. By enhancing the overall user experience through a more customized and efficient charging station selection process, this proposed scheme has the potential to contribute to more EVs adoption.en_US
dc.identifier.doi10.1109/TITS.2024.3379469
dc.identifier.issn1524-9050
dc.identifier.issn1558-0016
dc.identifier.scopus2-s2.0-85190167911en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1109/TITS.2024.3379469
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6176
dc.identifier.wosWOS:001201959600001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Transactions On Intelligent Transportation Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCharging stationsen_US
dc.subjectVehiclesen_US
dc.subjectCostsen_US
dc.subjectPetroleumen_US
dc.subjectAutomobilesen_US
dc.subjectVehicle dynamicsen_US
dc.subjectReal-time systemsen_US
dc.subjectMulti-attribute decision-makingen_US
dc.subjectrecommendation schemeen_US
dc.subjectelectric vehiclesen_US
dc.titleA User-Preference-Based Charging Station Recommendation for Electric Vehiclesen_US
dc.typeArticleen_US

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