Assessing the limits of centralized unmanned aerial vehicle conflict management in U-Space
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Título
Assessing the limits of centralized unmanned aerial vehicle conflict management in U-SpaceFecha de publicación
2023Editor
Wiley; Institution of Engineering and Technology (IET)ISSN
1751-956X; 1751-9578Cita bibliográfica
Boronat, P., Pérez-Francisco, M., Wubben, J., Calafate, C.T., Cano, J.C., Casado, R.: Assessing the limits of centralized unmanned aerial vehicle conflict management in U-Space. IET Intell. Transp. Syst. 00, 1–12 (2023). https://doi.org/10.1049/itr2.12426Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/itr2.12426Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
There is an important growth of unmanned aerial vehicles (UAVs) performing planned missions in urban environments, which poses significant challenges to the research community. The possibility of collisions represents ... [+]
There is an important growth of unmanned aerial vehicles (UAVs) performing planned missions in urban environments, which poses significant challenges to the research community. The possibility of collisions represents a critical challenge. UAVs can suffer collisions due to different causes external or internal to their flight plans. In this context, dynamic geo-fencing is a useful approach, whereby each UAV is able to provide a prediction of its future positions within a limited time. These predictions could be used to detect conflicts, allowing to dynamically modify the flight plans so as to avoid imminent collisions. In this work, a conflict detection algorithm/method is proposed, implemented and tested on a central server performing real-time conflict analysis for a large number of UAVs flying in the aerial space of a city (U-Space). The architecture assumes that UAVs send their future locations to a traffic controller. This controller compares the predicted positions of nearby vehicles to detect possible conflicts. The results of this work demonstrate the feasibility of the proposed conflict detection algorithm and its interest to improve the security and efficiency in U-Space environments. The server is able to track thousands of UAVs in real time with a conflict anticipation around 11 s. [-]
Publicado en
IET Intelligent Transport Systems, 2023Entidad financiadora
Ministerio de Ciencia e Innovación | Ministerio de Ciencia, Innovación y Universidades | European Regional Development Fund | Junta de Comunidades de Castilla-La Mancha
Identificador de la entidad financiadora
http://dx.doi.org/10.13039/501100011033
Código del proyecto o subvención
MCIN/PEICTI2021-2023/PID2021-122580NB-I00 | MICIU/ICTI2017-2020/ RTI2018-098156-B-C52 | SBPLY/19/180501/000159
Título del proyecto o subvención
Tecnologías y aplicaciones innovadoras para centros de datos y computadores de altas prestaciones
Derechos de acceso
info:eu-repo/semantics/openAccess
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