A Multilayer Low-Altitude Airspace Model for UAV Traffic Management
English
Samir Labib, Nader[University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Danoy, Grégoire[University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC) >]
Musial, Jedrzej[Poznan University of Technology > Computer Science]
Brust, Matthias R.[University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Bouvry, Pascal[University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Nov-2019
9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet '19)
Samir Labib, Nader
Danoy, Grégoire
Musial, Jedrzej
Brust, Matthias R.
Bouvry, Pascal
ACM
57-63
Yes
International
978-1-4503-6907-7
9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications
[en] Over the recent years, Unmanned Aerial Vehicles' (UAVs) technology developed rapidly. In turn shedding light on a wide range of potential civil and commercial applications ranging from mapping and surveillance, parcel delivery to more demanding ones that require UAVs to operate in heterogeneous swarms. However, with the great advantages UAVs bring, they are expected to soon dominate the shared, low-altitude airspace over populated cities, introducing multiple new research challenges in safely managing the unprecedented traffic demands. The main contribution of this work is addressing the complex problem of UAV traffic management at an abstract level by proposing a structure for the uncontrolled low-altitude airspace. The paper proposes a model of the airspace as a weighted multilayer network of nodes and airways and presents a set of experimental simulations of UAV traffic for the verification and validation of the model. Finally, the paper outlines our intended future work.