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Innovative processing for flight practices

Rezultaty

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

Publikacje

Dispatcher3 - Machine learning for flight plan dispatching

Autorzy: Delgado, L.
Opublikowane w: PACEdays 2020, 2020
Wydawca: PACE

Dispatcher3 - Machine learning to support dispatching processes

Autorzy: Delgado, L.
Opublikowane w: PACEdays 2022, 2022
Wydawca: PACE

Dispatcher3: Innovative processing for flight practices

Autorzy: Delgado, L., Valput, D., Prats, X., Botelho, I., Schultz, R. and Cirstica, M.
Opublikowane w: 10th SESAR Innovation Days, 2020
Wydawca: SESAR JU

Dispatcher3 – Machine learning to support flight planning processes

Autorzy: Delgado, L., Mas-Pujol, S., Skorobogatov, G., Argerich, C. and Gregori, E.
Opublikowane w: 12th SESAR Innovation Days 2022, 2022
Wydawca: SESAR JU

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

Autorzy: Mas-Pujol, S., Delgado, L. and De Falco, P.
Opublikowane w: Airline Group of the International Federation of Operational Research Society (AGIFORs), 2022
Wydawca: AGIFORs

Prediction of reactionary delay and cost using machine learning

Autorzy: De Falco, P. and Delgado, L.
Opublikowane w: Airline group of the International Federation of Operational Research Society (AGIFORs), 2021
Wydawca: AGIFORs

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

Autorzy: Delgado, L., Mas-Pujol, S., Skorobogatov, G., Argerich, C. and Gregori, E
Opublikowane w: Towards Sustainable Avitaion Summit (TSAS 2022), 2022
Wydawca: Association Aeronautique et Astronautique de France

Pre-Tactical Prediction of ATFM Delay for Individual Flights

Autorzy: Mas-Pujol, S., De Falco, P., Salamí, E. and Delgado, L.
Opublikowane w: 41st Digital Avionics Systems Conference (DASC), 2022
Wydawca: IEEE
DOI: 10.1109/dasc55683.2022.9925761

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