4D trajectory conflict detection and resolution using decision tree pruning method

Monteiro, Lucas Borges; Ribeiro, Vitor Filincowsky; Garcia, Cristiano Perez; Rocha Filho, Geraldo Pereira; Li, Weigang

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Campo DC	Valor	Idioma
dc.contributor.author	Monteiro, Lucas Borges	-
dc.contributor.author	Ribeiro, Vitor Filincowsky	-
dc.contributor.author	Garcia, Cristiano Perez	-
dc.contributor.author	Rocha Filho, Geraldo Pereira	-
dc.contributor.author	Li, Weigang	-
dc.date.accessioned	2025-09-29T12:08:26Z	-
dc.date.available	2025-09-29T12:08:26Z	-
dc.date.issued	2023-01-11	-
dc.identifier.citation	MONTEIRO, Lucas Borges et al. 4D trajectory conflict detection and resolution using decision tree pruning method. IEEE Latin America Transactions, New York, v. 21, n. 2, p. 277 - 287, 2023. DOI: 10.1109/TLA.2023.10015220. Disponível em: https://ieeexplore.ieee.org/document/10015220. Acesso em: 03 jun. 2025.	pt_BR
dc.identifier.uri	http://repositorio.unb.br/handle/10482/52530	-
dc.language.iso	eng	pt_BR
dc.publisher	IEEE	pt_BR
dc.rights	Acesso Restrito	pt_BR
dc.title	4D trajectory conflict detection and resolution using decision tree pruning method	pt_BR
dc.type	Artigo	pt_BR
dc.subject.keyword	ATM (Gerenciamento de tráfego aéreo)	pt_BR
dc.subject.keyword	Inteligência artificial (IA)	pt_BR
dc.subject.keyword	Transporte aéreo	pt_BR
dc.identifier.doi	10.1109/TLA.2023.10015220	pt_BR
dc.relation.publisherversion	https://ieeexplore.ieee.org/document/10015220/	pt_BR
dc.description.abstract1	The aviation community develops Trajectory Based Operations (TBO) as an advancement in Air Traffic Management (ATM). There is still the need for an efficient scheme to present the trajectories, manage their associated data, and further detect and resolve the conflicts (CD&R) that should eventually occur. In this research, we develop a CD&R framework for managing predicted 4-Dimensional Trajectory (4DT). Using Not Only SQL (NoSQL) database (Cassandra and MongoDB), the 4D trajectories of related routes are presented, and the possible conflicts are detected using the strategy of Computing in NoSQL Database. Compared with other conflict detection algorithms, usually by the pairwise method with O(n 2) at least, the proposed Decision Tree Pruning Method (DTPM) effectively treats massive data sets. The 4DT data are collected by Trajectory Predictor (TP) concerning 58% of the whole Brazilian air traffic. The comparison results between Cassandra and MongoDB from the case studies show the effectiveness of the proposed methods for conflict detection. In addition, we prove that the conflict resolution approach is viable for application in real scenarios, finding near-optimal solutions for the conflicts identified by the framework. Finally, we also demonstrated the development of sustainable artificial intelligence in intelligent air transportation to improve safety in air traffic management.	pt_BR
dc.identifier.orcid	https://orcid.org/0000-0003-4941-9542	pt_BR
dc.identifier.orcid	https://orcid.org/0000-0001-9707-8952	pt_BR
dc.identifier.orcid	https://orcid.org/0000-0003-4312-5391	pt_BR
dc.identifier.orcid	https://orcid.org/0000-0001-6795-2768	pt_BR
dc.identifier.orcid	https://orcid.org/0000-0003-1826-1850	pt_BR
dc.contributor.affiliation	Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação	pt_BR
dc.contributor.affiliation	Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação	pt_BR
dc.contributor.affiliation	Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação	pt_BR
dc.contributor.affiliation	Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação	pt_BR
dc.contributor.affiliation	Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação	pt_BR
dc.description.unidade	Instituto de Ciências Exatas (IE)	pt_BR
dc.description.unidade	Departamento de Ciência da Computação (IE CIC)	pt_BR
dc.description.ppg	Programa de Pós-Graduação em Informática	pt_BR
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