Topology effects in drone parcel delivery

dc.contributor.authorIzco Berastegui, Irene
dc.contributor.authorSerrano Hernández, Adrián
dc.contributor.authorFaulín Fajardo, Javier
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa, PJUPNA26-2022
dc.date.accessioned2025-03-11T11:56:53Z
dc.date.available2025-03-11T11:56:53Z
dc.date.issued2024
dc.date.updated2025-03-11T11:50:07Z
dc.descriptionFecha de publicación completa no encontrada.
dc.description.abstractDespite the positive sustainability prospects of drones, their flight range is compromised due to their limited battery capacity and the payload of delivered parcels. An alternative to address this challenge is the placement of charging stations where drone batteries are recharged to expand their flying range. The aim of this work is determining the number and location of drone charging stations for topology-dependent scenarios: rural areas and densely populated urban areas. To the best of the researchers' knowledge, there is currently no existing study in the literature that specifically investigates the impacts of topology on drone-assisted delivery. This study focuses on designing drone assignment strategies through optimization-simulation, aiming at minimizing charging station installation costs and operational costs and as a novelty, drone battery consumption is considered in the model design. Drone delivery order instances with different sizes and spatial distributions are generated to simulate realistic scenarios of demand and evaluate the optimization model to allocate the customer demands to stations and dimensioning drones fleet. Results show that considering parcel weight and flight distance has a significant impact on the performance of drone allocation to stations and highlight the effects of topology in the implementation of a drone-assisted delivery network.en
dc.description.sponsorshipThis work has been partially supported by the Spanish Ministry of Science, Innovation, and Universities (PID2022-140278NB-I00 project and RED2022-134703-T network). Additionally, we acknowledge the support from the Public University of Navarre for Young Researchers Projects Program (PJUPNA26-2022) and the UNED Pamplona project (UNEDPAM/PI/PR24/04P).
dc.format.mimetypeapplication/pdfen
dc.identifier.citationIzco, I., Serrano-Hernandez, A., Faulin, J. (2024). Topology effects in drone parcel delivery. In Affenzeller, M., Bruzzone, A. G., Jimenez, E., Longo, F., Petrillo A. (Eds.), 36th European Modeling and Simulation Symposium, EMSS 2024 Cal-Tek srl. https://doi.org/10.46354/i3m.2024.emss.014.
dc.identifier.doi10.46354/i3m.2024.emss.014
dc.identifier.isbn978-12-81988-02-6
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/53710
dc.language.isoeng
dc.publisherCal-Tek srl
dc.relation.ispartofAffenzeller, M.; Bruzzone, A. G.; Jimenez, E.; Longo, F.; Petrillo, A. (Eds.). 36th European Modeling and Simulation Symposium, EMSS 2024. Cal-Tek srl; 2024 978-12-81988-02-6
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-140278NB-I00/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/RED2022-134703-T/
dc.relation.publisherversionhttps://doi.org/10.46354/i3m.2024.emss.014
dc.rights© 2024 The Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCharging station infrastructureen
dc.subjectDrone deliveryen
dc.subjectEnergy consumptionen
dc.subjectFacility Location Problemen
dc.titleTopology effects in drone parcel deliveryen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication5209329f-a11e-4496-94ae-c1d3c54fe887
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relation.isAuthorOfPublication2f9b6dfd-9ac6-42b0-bff1-82079b8a03b8
relation.isAuthorOfPublication.latestForDiscovery5209329f-a11e-4496-94ae-c1d3c54fe887

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