Výsledky vyhledávání - "García Cantú Ros, Oliva"

Technology adoption in Air Traffic Management: A combination of agent-based modelling with behavioural economics

Autor: Roungas, Bill, Baena, Miguel, García-Cantú Ros, Oliva, Alcolea, Rubén, Herranz, Ricardo, Raghothama, Jayanth

The European Air Traffic Management (ATM) system is responsible for the safe and timely transportation of more than a billion passengers annually. It is a system that depends heavily on technology and is expected to stay on top of the technological a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22aede59162c2f6c664cc172e424df35

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New urban mobility options: Alternative futures and their impact in transport planning techniques

Autor: Burrieza Galán, Javier, Rodríguez Vázquez, Rita, García Cantú Ros, Oliva, Aifadopoulou, Georgia, Salanova Grau, Josep-María, Konstantinidou, María, Frederix, Rodric, Pápics, Péter

Publikováno v: Repositorio Institucional de la Universidad de Burgos (RIUBU)
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Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos
The acceleration of technolog

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::575440760113db2025e41a50d78715e3
http://hdl.handle.net/10259/6963

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Urban population dynamics during the COVID- 19 pandemic based on mobile phone data

Autor: Romanillos Arroyo, Gustavo, García Palomares, Juan Carlos, Moya-Gómez, Borja, Gutiérrez Puebla, Javier, Torres, Javier, López, Mario, García Cantú Ros, Oliva, Herranz, Ricardo

Publikováno v: Repositorio Institucional de la Universidad de Burgos (RIUBU)
instname

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::75577ceee5d553e540731bd7be3fbdc7
http://hdl.handle.net/10259/6864

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Unveiling airline preferences for pre-tactical route forecast through machine learning. An innovative system for ATFCM pre-tactical planning support

Autor: Mateos Villar, Manuel, Martín, Ignacio, Alcolea, Ruben, Herranz, Ricardo, García Cantú-Ros, Oliva, Prats Menéndez, Xavier

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

In this work we describe a novel approach for the prediction of the flight plan to be sent by airspace users during the pre-tactical phase of Air Traffic Flow and Capacity Management (ATFCM). The proposed approach uses machine learning algorithms to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3f6053be82bee52d42e31ff225d157e9
http://hdl.handle.net/2117/359053

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Machine learning for aircraft trajectory prediction: a solution for pre-tactical air traffic flow management

Autor: Mateos Villar, Manuel

Publikováno v: TDX (Tesis Doctorals en Xarxa)

Pla de Doctorats Industrials de la Generalitat de Catalunya (English) The goal of air traffic flow and capacity management (ATFCM) is to ensure that airport and airspace capacity meet traffic demand while optimising traffic flows to avoid exceeding t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3484::b2399041834c2b3cfbe65955f4b987d7
https://hdl.handle.net/2117/38080810803/687428

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