Priority-Driven Instant Delivery System with Drone Resupply

Zhang, Xu, Zhou, Xiaokang, Ren, Yi and Huang, Tao (2025) Priority-Driven Instant Delivery System with Drone Resupply. In: 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2025-10-05 - 2025-10-08. (In Press)

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Abstract

The unmanned aerial vehicle (UAV) resupply mode offers a viable alternative to parcel delivery by replenishing ground vehicles at intermediate open-space supply points. Usually, orders are treated as equally important with no guarantees of on-time delivery. In this paper, we propose a priority based delivery framework to efficiently manage real-time delivery demands with varying priorities. Specifically, this framework integrates a fleet of UAVs for resupply and trucks for final delivery. By considering the inherent priority of orders and their elapsed waiting time, a dynamic priority discipline is introduced and customized to different order contexts. This approach ensures that urgent orders are prioritized to ensure timely fulfillment within their deadlines, while low-prioritized orders can still be completed without excessive waiting. Simulations using a real-world city map of Helsinki, along with mobility features of both trucks and UAVs, show significant performance gains over baseline schemes in terms of on-time delivery rate, average delivery time, and waiting fairness among all orders.

Item Type:	Conference or Workshop Item (Paper)
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Cyber Intelligence and Networks Faculty of Science > Research Groups > Data Science and AI
Related URLs:	https://www.ieeesmc2025.org/
Depositing User:	LivePure Connector
Date Deposited:	05 Nov 2025 12:30
Last Modified:	05 Nov 2025 15:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/100905
DOI:

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