Priority-Aware Conflict Resolution for U-Space

In the context of the future urban mobility airspaces, U-space lays the foundation for unmanned aircrafts to be integrated with conventionally manned traffic to offer a multitude of services to citizens and businesses, such as urban public transport, goods movement, parcel delivery, etc. Given these...

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Detalles Bibliográficos
Autores: Jover Alfaro, Jesús, Bermúdez Marín, Aurelio, Casado González, Rafael
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/40407
Acceso en línea:https://www.mdpi.com/2079-9292/11/8/1225
https://hdl.handle.net/10578/40407
Access Level:acceso abierto
Palabra clave:Conflict detection and resolution
UAS Traffic Management (UTM)
Unmanned Aircraft System (UAS)
Urban Air Mobility (UAM)
U-Space
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spelling Priority-Aware Conflict Resolution for U-SpaceJover Alfaro, JesúsBermúdez Marín, AurelioCasado González, RafaelConflict detection and resolutionUAS Traffic Management (UTM)Unmanned Aircraft System (UAS)Urban Air Mobility (UAM)U-SpaceIn the context of the future urban mobility airspaces, U-space lays the foundation for unmanned aircrafts to be integrated with conventionally manned traffic to offer a multitude of services to citizens and businesses, such as urban public transport, goods movement, parcel delivery, etc. Given these extensive possibilities, it is estimated that thousands of aircrafts (or even more) from different owners will share common airspace volumes, and the probability that all of them will travel without colliding is extremely low if no means are put in place to prevent it. This paper aims to introduce the reader to the conflict management policy proposed in U-space and proposes a new version of the PCAN (Prediction-based Conflict-free Adaptive Navigation) algorithm to adapt to this policy. In particular, the new implementation of PCAN takes into account a more than likely classification of flights according to their priority. The evaluation of this priority-aware algorithm shows that it is still possible to avoid any conflict between the set of aircraft in flight, with an insignificant detriment to higher priority flights, while maintaining minimal detriment on average.MDPI202520252022info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://www.mdpi.com/2079-9292/11/8/1225https://hdl.handle.net/10578/40407reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésRTI2018-098156-B-C52 SBPLY/19/180501/0001592021-GRIN-31042info:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/404072026-05-27T07:36:41Z
dc.title.none.fl_str_mv Priority-Aware Conflict Resolution for U-Space
title Priority-Aware Conflict Resolution for U-Space
spellingShingle Priority-Aware Conflict Resolution for U-Space
Jover Alfaro, Jesús
Conflict detection and resolution
UAS Traffic Management (UTM)
Unmanned Aircraft System (UAS)
Urban Air Mobility (UAM)
U-Space
title_short Priority-Aware Conflict Resolution for U-Space
title_full Priority-Aware Conflict Resolution for U-Space
title_fullStr Priority-Aware Conflict Resolution for U-Space
title_full_unstemmed Priority-Aware Conflict Resolution for U-Space
title_sort Priority-Aware Conflict Resolution for U-Space
dc.creator.none.fl_str_mv Jover Alfaro, Jesús
Bermúdez Marín, Aurelio
Casado González, Rafael
author Jover Alfaro, Jesús
author_facet Jover Alfaro, Jesús
Bermúdez Marín, Aurelio
Casado González, Rafael
author_role author
author2 Bermúdez Marín, Aurelio
Casado González, Rafael
author2_role author
author
dc.subject.none.fl_str_mv Conflict detection and resolution
UAS Traffic Management (UTM)
Unmanned Aircraft System (UAS)
Urban Air Mobility (UAM)
U-Space
topic Conflict detection and resolution
UAS Traffic Management (UTM)
Unmanned Aircraft System (UAS)
Urban Air Mobility (UAM)
U-Space
description In the context of the future urban mobility airspaces, U-space lays the foundation for unmanned aircrafts to be integrated with conventionally manned traffic to offer a multitude of services to citizens and businesses, such as urban public transport, goods movement, parcel delivery, etc. Given these extensive possibilities, it is estimated that thousands of aircrafts (or even more) from different owners will share common airspace volumes, and the probability that all of them will travel without colliding is extremely low if no means are put in place to prevent it. This paper aims to introduce the reader to the conflict management policy proposed in U-space and proposes a new version of the PCAN (Prediction-based Conflict-free Adaptive Navigation) algorithm to adapt to this policy. In particular, the new implementation of PCAN takes into account a more than likely classification of flights according to their priority. The evaluation of this priority-aware algorithm shows that it is still possible to avoid any conflict between the set of aircraft in flight, with an insignificant detriment to higher priority flights, while maintaining minimal detriment on average.
publishDate 2022
dc.date.none.fl_str_mv 2022
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://www.mdpi.com/2079-9292/11/8/1225
https://hdl.handle.net/10578/40407
url https://www.mdpi.com/2079-9292/11/8/1225
https://hdl.handle.net/10578/40407
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv RTI2018-098156-B-C52
SBPLY/19/180501/000159
2021-GRIN-31042
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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