Zoning a Service Area of Unmanned Aerial Vehicles for Package Delivery Services

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1 Citation (Scopus)

Resumé

Package delivery services by deploying Unmanned Aerial Vehicles (UAVs) have received considerable attention due to their significant potential benefits. One of the scenarios making the concept more attractive is to deploy large numbers of UAVs to properly handle increasing demands for the service by the units. However, it is challenging because it increases the difficulty of UAV control as well as the complexity of the scheduling problems involved in the service. To tackle the issues, we propose a systematic approach that decomposes a service area into several disjoint zones. Within a zone, a single UAV at most can be operated. To verify the advantages and performance of the proposed approach, we first optimize the zoning, i.e. a service area decomposition, applying Genetic Algorithm (GA). We then evaluate the service level of the package deliveries by UAVs under the proposed approach using a simulation model.

OriginalsprogEngelsk
TidsskriftJournal of Intelligent and Robotic Systems
ISSN0921-0296
DOI
StatusE-pub ahead of print - 2019

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Zoning
Unmanned aerial vehicles (UAV)
Genetic algorithms
Scheduling
Decomposition

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title = "Zoning a Service Area of Unmanned Aerial Vehicles for Package Delivery Services",
abstract = "Package delivery services by deploying Unmanned Aerial Vehicles (UAVs) have received considerable attention due to their significant potential benefits. One of the scenarios making the concept more attractive is to deploy large numbers of UAVs to properly handle increasing demands for the service by the units. However, it is challenging because it increases the difficulty of UAV control as well as the complexity of the scheduling problems involved in the service. To tackle the issues, we propose a systematic approach that decomposes a service area into several disjoint zones. Within a zone, a single UAV at most can be operated. To verify the advantages and performance of the proposed approach, we first optimize the zoning, i.e. a service area decomposition, applying Genetic Algorithm (GA). We then evaluate the service level of the package deliveries by UAVs under the proposed approach using a simulation model.",
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Zoning a Service Area of Unmanned Aerial Vehicles for Package Delivery Services. / Sung, Inkyung.

I: Journal of Intelligent and Robotic Systems, 2019.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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