DC FieldValueLanguage
dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorYi, Wen_US
dc.creatorSutrisna, Men_US
dc.creatorWang, Hen_US
dc.date.accessioned2021-08-13T06:13:37Z-
dc.date.available2021-08-13T06:13:37Z-
dc.identifier.urihttp://hdl.handle.net/10397/90660-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectInfinite-dimensional optimizationen_US
dc.subjectLow-carbon logisticsen_US
dc.subjectSchedulingen_US
dc.subjectUnmanned aerial vehicleen_US
dc.titleUnmanned aerial vehicle based low carbon monitoring planningen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume48en_US
dc.identifier.doi10.1016/j.aei.2021.101277en_US
dcterms.abstractInstead of physically visiting all locations of concern by manpower, unmanned aerial vehicles (UAVs) equipped with cameras are a low-cost low-carbon alternative to carry out monitoring tasks. When a UAV flies to conduct monitoring tasks, it does not have to fly at a fixed speed; instead, it should fly at lower speeds over objects of higher concerns and vice versa. This paper addresses the UAV planning problem with a focus on optimizing the speed profile. We propose an infinite-dimensional optimization model for the problem and transform the model into a linear programming formulation based on characteristics of the problem. Our case study shows the managerial insight that the UAV flies at low speeds on important segments of the path and at its highest speeds on less-important segments. This means more durable batteries should be designed for drones that need to carry out elaborated monitoring tasks. This finding further provides guidance for drone users when purchasing and renting drones.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationAdvanced engineering informatics, Apr. 2021, v. 48, 101277en_US
dcterms.isPartOfAdvanced engineering informaticsen_US
dcterms.issued2021-04-
dc.identifier.scopus2-s2.0-85101931089-
dc.identifier.eissn1474-0346en_US
dc.identifier.artn101277en_US
dc.description.validate202108 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera1003-n08-
dc.identifier.SubFormID2390-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2023.04.30en_US
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