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dc.contributor.advisorBalakrishnan, Hamsa
dc.contributor.authorSaravanan, Akila
dc.date.accessioned2024-06-27T19:48:13Z
dc.date.available2024-06-27T19:48:13Z
dc.date.issued2024-05
dc.date.submitted2024-05-28T19:36:42.983Z
dc.identifier.urihttps://hdl.handle.net/1721.1/155367
dc.description.abstractThe rapid deployment of fleets of small, uncrewed aircraft (drones) for tasks like package delivery or search-and-rescue in the immediate aftermath of a natural disaster are some of the most vital and common applications of advanced air mobility. Recognizing that successful drone missions depend on pre-established, well-positioned bases and efficient task allocation, this work presents a generalizable model for base positioning and routing in diverse applications. The proposed model prioritizes choosing bases that both maximize operational coverage and enable rapid responses to high-demand areas. Additionally, the framework integrates a vehicle routing component to optimize drone flight paths for efficient task completion in the tactical portion of drone-based operations; this component is the primary focus of this work. In addition to the theoretical formulation, the models are validated through case studies examining post-flooding search-and-rescue in the Iwate prefecture of Japan and package deliveries in the Austin, TX metropolitan area.
dc.publisherMassachusetts Institute of Technology
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleStrategic Planning and Deployment of Aerial Assets
dc.typeThesis
dc.description.degreeS.M.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronautics
mit.thesis.degreeMaster
thesis.degree.nameMaster of Science in Aeronautics and Astronautics


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