Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/75463
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dc.contributor.authorTrivedi, Prashant
dc.date.accessioned2018-05-31T06:59:58Z
dc.date.available2018-05-31T06:59:58Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/10356/75463
dc.description.abstractUnmanned Aerial Vehicles (UAV), more commonly known as drones, are the next disruptive robotic platforms which are meant to dive into wide range of industries. It is important that implementation and regulation of such technologies takes up to same place as the technology itself. Hence, this report examines the study of optimized pricing model of drone-based postal delivery. K-means clustering along with Newton’s method forms the basis of models, with an aim to achieve high optimization with respect to cos and number of deliveries per drone. Both models assume delivery of light weight posts through one truck and a fleet of drones. These models are largely based for Singapore’s demographics.en_US
dc.format.extent52 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Aeronautical engineeringen_US
dc.titleA study of optimized pricing models for drone-based postal deliveryen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChen Songlinen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeBachelor of Engineering (Mechanical Engineering)en_US
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Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)
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