Innovative processing for flight practices

Información del proyecto

Dispatcher3

Identificador del acuerdo de subvención: 886461

DOI

10.3030/886461

Proyecto cerrado

Fecha de la firma de la CE 22 Abril 2020

Fecha de inicio 1 Junio 2020

Fecha de finalización 30 Noviembre 2022

Financiado con arreglo a

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Coste total

€ 697 875,00

Aportación de la UE

€ 640 200,00

Coordinado por

THE UNIVERSITY OF WESTMINSTER LBG
United Kingdom

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (5)

Technical Resources and Problem definition

This deliverable will report all the activities carried out in WP1. It is an important document as it summarises the project approach, scope and case studies defining what Dispatcher3 will achieve. It also summaries the technical requirements for the project and finally contains a first identification of data requirements and data analytic techniques that will be modelled. Feedback from the first Advisory Board meeting will be considered for this deliverable.

Project communication, dissemination and exploitation report

It will include all the material reported in Task 72 Communication dissemination and exploitation programme and reporting

Verification and validation plan

This deliverable contains the verification and validation plan for Dispatcher3 It will detail the verification approach and the different activities that will be performed as part of the validation It has the outcome of Task 51

Project communication, dissemination and exploitation plan

It will include all the material reported in Task 7.1. - Communication, dissemination, exploitation plan and project visual identity.

Verification and validation report

This final deliverable of WP5 contains a summary of the outcome of the validation activities It will incorporate a summary of the outcome of the verification and validation activities carried out during the development of the project outcome of Task 52 and of the external validation activities Task 53

Publicaciones

Other (4)

Dispatcher3 - Machine learning for flight plan dispatching

Autores: Delgado, L.
Publicado en: PACEdays 2020, 2020
Editor: PACE

Dispatcher3 - Machine learning to support dispatching processes

Autores: Delgado, L.
Publicado en: PACEdays 2022, 2022
Editor: PACE

Dispatcher3: Innovative processing for flight practices

Autores: Delgado, L., Valput, D., Prats, X., Botelho, I., Schultz, R. and Cirstica, M.
Publicado en: 10th SESAR Innovation Days, 2020
Editor: SESAR JU

Dispatcher3 – Machine learning to support flight planning processes

Autores: Delgado, L., Mas-Pujol, S., Skorobogatov, G., Argerich, C. and Gregori, E.
Publicado en: 12th SESAR Innovation Days 2022, 2022
Editor: SESAR JU

Conference proceedings (4)

Pre-tactical advice using machine learning for Air Traffic Flow Management delay estimation

Autores: Mas-Pujol, S., Delgado, L. and De Falco, P.
Publicado en: Airline Group of the International Federation of Operational Research Society (AGIFORs), 2022
Editor: AGIFORs

Prediction of reactionary delay and cost using machine learning

Autores: De Falco, P. and Delgado, L.
Publicado en: Airline group of the International Federation of Operational Research Society (AGIFORs), 2021
Editor: AGIFORs

Dispatcher3 – Machine learning for efficient flight planning - Approach and challenges for data-driven prototypes in air transport

Autores: Delgado, L., Mas-Pujol, S., Skorobogatov, G., Argerich, C. and Gregori, E
Publicado en: Towards Sustainable Avitaion Summit (TSAS 2022), 2022
Editor: Association Aeronautique et Astronautique de France

Pre-Tactical Prediction of ATFM Delay for Individual Flights

Autores: Mas-Pujol, S., De Falco, P., Salamí, E. and Delgado, L.
Publicado en: 41st Digital Avionics Systems Conference (DASC), 2022
Editor: IEEE
DOI: 10.1109/dasc55683.2022.9925761

Peer reviewed articles (2)

Prediction of ATFM impact for individual flights: A machine learning approach

Autores: Sergi Mas-Pujol, Luis Delgado
Publicado en: Expert Systems with Applications, Edición 252, Par A, 2024, ISSN 0957-4174
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2024.124146

Probabilistic approach for the prediction of flight processes with uncertainty quantification – Application to block time

Autores: Paolino De Falco, Luis Delgado
Publicado en: Expert Systems with Applications, 2025, Página(s) 129313, ISSN 0957-4174
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2025.129313