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Title Decision-Making For Drone Services In Urban Environments: A Simulated Study On Clients' Satisfaction And Profit Maximisation
ID_Doc 17728
Authors Alwateer M.; Loke S.W.
Year 2019
Published Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019
DOI http://dx.doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00134
Abstract Drone services are expected to emerge in many parts of the world. Recently, drones research have been getting increasing attention as they involve increasingly advanced technologies that may lead to providing civilian drone services in cities. This paper studies, via extensive simulations, the impact of the number of drones available for drone service delivery, on the number of orders that can be served, profit generated, client's waiting time and client satisfaction, under the adaptive and committed modes of drone operation, and under two different modes of job allocation to drones. Our results also show that round-robin for job allocation is better than the serve-near as it can serve more orders, generate more profit, minimise client waiting time and maximise client satisfaction. The results from the adaptive and committed scenarios do not vary for the round robin system. However, for the serve-near system, the adaptive scenario is better on all fronts. These findings have implications for the drone service providers of the future. © 2019 IEEE.
Author Keywords Drone; Drone services; On-drone decision making; UAV


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