A Conflict Resolution Approach for Multiple Unmanned Aerial Vehicles

The integration of Unmanned Aerial Vehicles (UAVs) into non-segregated airspace has raised critical conflict detection and resolution challenges, especially as UAV applications continue to expand. This paper presents a novel conflict resolution approach for multiple UAVs by segmenting the airspace into discrete altitude intervals. Two vertical maneuvering algorithms are proposed: one employing random selection and the other based on occupancy awareness. The simulation results demonstrate that the proposed method effectively resolves conflicts, reduces the likelihood of future encounters, and optimizes resource usage, contributing to safer and more efficient UAV operations in shared airspace.

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Publication Details

Journal
Electronics
Published
2025-05-31
DOI
https://doi.org/10.3390/electronics14112247
Citations
2
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
9.99

Funders

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article

A Conflict Resolution Approach for Multiple Unmanned Aerial Vehicles

Nouf Alaloula, Abdelfettah Belghith, Najla Al-Nabhan, Rawan Alturkestani
2 citations
Electronics
Air Traffic Management and Optimization
9.99
article

A Conflict Resolution Approach for Multiple Unmanned Aerial Vehicles

Nouf Alaloula, Abdelfettah Belghith, Najla Al-Nabhan, Rawan Alturkestani
article en
2 citations

Abstract

The integration of Unmanned Aerial Vehicles (UAVs) into non-segregated airspace has raised critical conflict detection and resolution challenges, especially as UAV applications continue to expand. This paper presents a novel conflict resolution approach for multiple UAVs by segmenting the airspace into discrete altitude intervals. Two vertical maneuvering algorithms are proposed: one employing random selection and the other based on occupancy awareness. The simulation results demonstrate that the proposed method effectively resolves conflicts, reduces the likelihood of future encounters, and optimizes resource usage, contributing to safer and more efficient UAV operations in shared airspace.

ElectronicsVol. 14(11)
King Saud University (SA)
King Saud University
Openalex Percentile: Top 3%
Air Traffic Management and Optimization
9.99
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