Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/92755
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dc.contributorDepartment of Aeronautical and Aviation Engineeringen_US
dc.creatorHuang, Hen_US
dc.creatorSavkin, AVen_US
dc.date.accessioned2022-05-16T09:07:34Z-
dc.date.available2022-05-16T09:07:34Z-
dc.identifier.issn1524-9050en_US
dc.identifier.urihttp://hdl.handle.net/10397/92755-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication H. Huang and A. V. Savkin, "Deployment of Charging Stations for Drone Delivery Assisted by Public Transportation Vehicles," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 15043-15054, Sept. 2022 is available at https://dx.doi.org/10.1109/TITS.2021.3136218.en_US
dc.subjectDronesen_US
dc.subjectUnmanned aerial vehicle (UAV)en_US
dc.subjectParcel deliveryen_US
dc.subjectCharging stationsen_US
dc.subjectPublic transportation vehiclesen_US
dc.titleDeployment of charging stations for drone delivery assisted by public transportation vehiclesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage15043en_US
dc.identifier.epage15054en_US
dc.identifier.volume23en_US
dc.identifier.issue9en_US
dc.identifier.doi10.1109/TITS.2021.3136218en_US
dcterms.abstractTo enable the drone delivery service in a remote area, this paper considers the approach of deploying charging stations and collaborating with public transportation vehicles. From the warehouse which is far from a customer, a drone takes some public transportation vehicles to reach some position close to the remote area. When the customer is unreachable from the position where the drone leaves the public transportation vehicle, the drone swaps the battery at a charging station. The focus of this paper is the deployment of charging stations. We propose a new model to characterize the delivery time for customers. We formulate the optimal deployment problem to minimize the average delivery time for the customers, which is a reflection of customer satisfaction. We then propose a sub-optimal algorithm that relocates the charging stations in sequence, which ensures that any movement of a charging station leads to a decrease in the average flight distance. The comparison with a baseline method confirms that the proposed model can more accurately estimate the flight distance of a customer than the commonly used model, and the proposed algorithm can relocate the charging stations achieving lower flight distance.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on intelligent transportation systems, Sept 2022, v. 23, no. 9, p. 15043-15054en_US
dcterms.isPartOfIEEE transactions on intelligent transportation systemsen_US
dcterms.issued2022-09-
dc.identifier.scopus2-s2.0-85122059833-
dc.identifier.eissn1558-0016en_US
dc.description.validate202205 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberAAE-0006-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextAustralian Research Council; The Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS60531520-
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