A Physics-Informed Fixed Skyroad Model for Continuous UAS Traffic Management (C-UTM)

Fuente: arXiv
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Auteurs principaux: Zahed, Muhammad Junayed Hasan, Rastgoftar, Hossein
Format: Preprint
Publié: 2025
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author Zahed, Muhammad Junayed Hasan
Rastgoftar, Hossein
author_facet Zahed, Muhammad Junayed Hasan
Rastgoftar, Hossein
contents Unlike traditional multi-agent coordination frameworks, which assume a fixed number of agents, UAS traffic management (UTM) requires a platform that enables Uncrewed Aerial Systems (UAS) to freely enter or exit constrained low-altitude airspace. Consequently, the number of UAS operating in a given region is time-varying, with vehicles dynamically joining or leaving even in dense, obstacle-laden environments. The primary goal of this paper is to develop a computationally efficient management system that maximizes airspace usability while ensuring safety and efficiency. To achieve this, we first introduce physics-informed methods to structure fixed skyroads across multiple altitude layers of urban airspace, with the directionality of each skyroad designed to guarantee full reachability. We then present a novel Continuous UTM (C-UTM) framework that optimally allocates skyroads to UAS requests while accounting for the time-varying capacity of the airspace. Collectively, the proposed model addresses the key challenges of low-altitude UTM by providing a scalable, safe, and efficient solution for urban airspace usability.
format Preprint
id arxiv_https___arxiv_org_abs_2512_06268
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Physics-Informed Fixed Skyroad Model for Continuous UAS Traffic Management (C-UTM)
Zahed, Muhammad Junayed Hasan
Rastgoftar, Hossein
Systems and Control
Multiagent Systems
Unlike traditional multi-agent coordination frameworks, which assume a fixed number of agents, UAS traffic management (UTM) requires a platform that enables Uncrewed Aerial Systems (UAS) to freely enter or exit constrained low-altitude airspace. Consequently, the number of UAS operating in a given region is time-varying, with vehicles dynamically joining or leaving even in dense, obstacle-laden environments. The primary goal of this paper is to develop a computationally efficient management system that maximizes airspace usability while ensuring safety and efficiency. To achieve this, we first introduce physics-informed methods to structure fixed skyroads across multiple altitude layers of urban airspace, with the directionality of each skyroad designed to guarantee full reachability. We then present a novel Continuous UTM (C-UTM) framework that optimally allocates skyroads to UAS requests while accounting for the time-varying capacity of the airspace. Collectively, the proposed model addresses the key challenges of low-altitude UTM by providing a scalable, safe, and efficient solution for urban airspace usability.
title A Physics-Informed Fixed Skyroad Model for Continuous UAS Traffic Management (C-UTM)
topic Systems and Control
Multiagent Systems
url https://arxiv.org/abs/2512.06268