Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/118263
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dc.contributorDepartment of Aeronautical and Aviation Engineeringen_US
dc.creatorGao, Yen_US
dc.creatorLiu, Wen_US
dc.creatorZhang, Zen_US
dc.creatorDu, Ben_US
dc.date.accessioned2026-03-27T02:59:44Z-
dc.date.available2026-03-27T02:59:44Z-
dc.identifier.issn0965-8564en_US
dc.identifier.urihttp://hdl.handle.net/10397/118263-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectElectric autonomous vehiclesen_US
dc.subjectJoint user equilibriumen_US
dc.subjectOperation strategiesen_US
dc.subjectVehicle-to-griden_US
dc.titleManaging parking and charging services for electric autonomous vehicles considering vehicle-to-grid facilitiesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume201en_US
dc.identifier.doi10.1016/j.tra.2025.104680en_US
dcterms.abstractVehicle-to-grid (V2G) is an advanced technology that enables the transmission of energy from the battery of an electric vehicle to the grid, which provides opportunities to utilize electric autonomous vehicles (EAVs) as temporary storage for excessive energy. In the presence of V2G facilities, this paper formulates the joint choice equilibrium of parking and charging services and travel routes for users who need to park or charge their EAVs. Specifically, we consider that users who need to park (charge) their EAVs can choose either conventional parking (charging) service or V2G parking (charging) service, where V2G parking or charging service means that the EAV will be used for temporal power storage during parking or charging. The joint choice equilibrium is modeled as a variational inequality problem and the solution uniqueness/non-uniqueness issues of the equilibrium model have been examined. Considering the user choice equilibrium, we further investigate the optimal operation strategies of parking, charging and V2G operators, where these three operators might compete/cooperate with each other to maximize their benefits. Solution approaches for solving both the equilibrium model and the optimization model are proposed. Numerical studies demonstrated the proposed method and generated insights on how to manage/operate parking and charging services after integrating V2G facilities.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationTransportation research. Part A. Policy and practice, Nov. 2025, v. 201, 104680en_US
dcterms.isPartOfTransportation research. Part A. Policy and practiceen_US
dcterms.issued2025-11-
dc.identifier.scopus2-s2.0-105016462158-
dc.identifier.eissn1879-2375en_US
dc.identifier.artn104680en_US
dc.description.validate202603 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG001340/2026-02-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextWe would like to thank the anonymous referees very much for their valuable comments, which helped improve this paper substantially. The research described in this paper was partially supported by Guangdong Basic and Applied Basic Research Fund (No. 2023A1515012266), the National Natural Science Foundation of China (No. 72301228), and the Research Grants Council of Hong Kong (PolyU15204623).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-11-30en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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