Document Type

Article

Publication Date

2025

DOI

10.1016/j.trpro.2025.03.047

Publication Title

Transportation Research Procedia

Volume

84

Pages

73-80

Conference Name

The 1st International Conference on Smart Mobility and Logistics Ecosystems (SMiLE), September 17-19, 2024, KFUPM, Saudi Arabia

Abstract

Unmanned Aerial Vehicles (UAVs) are becoming more important in improving healthcare logistics, in particular due to their cost effectiveness, minimized risk, and versatile operational capabilities. This study explores the deployment of autonomous UAVs to deliver medical supplies to remote areas. Advances in ledger technology, smart contracts, and machine learning have transformed tasks previously managed by human teams or manually controlled UAVs into fully autonomous missions. We present a comprehensive analysis of the challenges and initial solutions vital for the effective use of autonomous UAVs in the delivery of medical supplies. In addition, we propose a machine-learning model to optimize UAV performance for these missions.

Rights

© 2024 The Authors.

This is an open access article under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) License.

Original Publication Citation

Aljohani, M., Mukkamala, R., & Olariu, S. (2025). Delivery of medical supplies to remote locations via unmanned aerial vehicles: Approaches, challenges, and solutions. Transportation Research Procedia, 84, 73-80. https://doi.org/10.1016/j.trpro.2025.03.047

ORCID

0000-0002-8057-0817 (Aljohani), 0000-0001-6323-9789 (Mukkamala), 0000-0002-3776-216X (Olariu)

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