Deliverables 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 Publications Other (4) Dispatcher3 - Machine learning for flight plan dispatching Author(s): Delgado, L. Published in: PACEdays 2020, 2020 Publisher: PACE Dispatcher3 - Machine learning to support dispatching processes Author(s): Delgado, L. Published in: PACEdays 2022, 2022 Publisher: PACE Dispatcher3: Innovative processing for flight practices Author(s): Delgado, L., Valput, D., Prats, X., Botelho, I., Schultz, R. and Cirstica, M. Published in: 10th SESAR Innovation Days, 2020 Publisher: SESAR JU Dispatcher3 – Machine learning to support flight planning processes Author(s): Delgado, L., Mas-Pujol, S., Skorobogatov, G., Argerich, C. and Gregori, E. Published in: 12th SESAR Innovation Days 2022, 2022 Publisher: SESAR JU Conference proceedings (4) Pre-tactical advice using machine learning for Air Traffic Flow Management delay estimation Author(s): Mas-Pujol, S., Delgado, L. and De Falco, P. Published in: Airline Group of the International Federation of Operational Research Society (AGIFORs), 2022 Publisher: AGIFORs Prediction of reactionary delay and cost using machine learning Author(s): De Falco, P. and Delgado, L. Published in: Airline group of the International Federation of Operational Research Society (AGIFORs), 2021 Publisher: AGIFORs Dispatcher3 – Machine learning for efficient flight planning - Approach and challenges for data-driven prototypes in air transport Author(s): Delgado, L., Mas-Pujol, S., Skorobogatov, G., Argerich, C. and Gregori, E Published in: Towards Sustainable Avitaion Summit (TSAS 2022), 2022 Publisher: Association Aeronautique et Astronautique de France Pre-Tactical Prediction of ATFM Delay for Individual Flights Author(s): Mas-Pujol, S., De Falco, P., Salamí, E. and Delgado, L. Published in: 41st Digital Avionics Systems Conference (DASC), 2022 Publisher: IEEE DOI: 10.1109/dasc55683.2022.9925761 Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
