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Decision-making for drone services in urban environments: a simulated study on clients' satisfaction and profit maximisation
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.
History
Event
IEEE Computer Society. Congress (2019 : Leicester, Eng.)Series
IEEE Computer Society CongressPagination
550 - 557Publisher
Institute of Electrical and Electronics EngineersLocation
Leicester, Eng.Place of publication
Piscataway, N.J.Start date
2019-08-19End date
2019-08-23ISBN-13
9781728140346Language
engPublication classification
E1 Full written paper - refereedEditor/Contributor(s)
[Unknown]Title of proceedings
SmartWorld 2019 : Proceedings of the 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City InnovationUsage metrics
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