Priority-Driven Instant Delivery System with Drone Resupply

Zhang, Xu, Zhou, Xiaokang, Ren, Yi and Huang, Tao (2026) Priority-Driven Instant Delivery System with Drone Resupply. In: 2025 IEEE International Conference on Systems, Man, and Cybernetics. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics . The Institute of Electrical and Electronics Engineers (IEEE), AUT, pp. 297-302. ISBN 9798331533588

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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:	Book Section
Uncontrolled Keywords:	control and systems engineering,human-computer interaction,electrical and electronic engineering ,/dk/atira/pure/subjectarea/asjc/2200/2207
Faculty \ School:	Faculty of Science > School of Computing Sciences
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	10 Apr 2026 15:30
Last Modified:	10 Apr 2026 15:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/102754
DOI:	10.1109/SMC58881.2025.11342507

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