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Pilot3 D1.1 - Technical resources and problem definition

Project report

Delgado, L., Kuljanin, J., de Villardi de Montlaur, A., Prats, X., Martinez, D., Fernandez, A., Schultz, R., Gurtner, G. and Cook, A.J. 2020. Pilot3 D1.1 - Technical resources and problem definition.

Domino D3.1 - Architecture definition

Project report

Delgado, L., Gurtner, G., Valput, D., Pilon, N., Guichard, L., Cook, A.J. and Tanner, G. 2018. Domino D3.1 - Architecture definition.

Building a Holistic ATM Model for Future KPI Trade-Offs

Conference paper

Gurtner, G., Delgado, L., Cook, A.J., Martin, J., Cristobal, S. and Plets, H. 2017. Building a Holistic ATM Model for Future KPI Trade-Offs. Schaefer, D. (ed.) SESAR Innovation Days 2017. Belgrade, Serbia 28 - 30 Nov 2017 SESAR.

‘POEM’ Outstanding Project Award

Conference item

Cook, A.J. 2015. ‘POEM’ Outstanding Project Award. World ATM Congress. Madrid 07 - 12 Mar 2015 SESAR.

Modelling passengers in air-rail multimodality

Conference paper

Delgado, L., Bolic, T., Cook, A.J., Zareian, E., Gregori, E. and Paul, A. 2023. Modelling passengers in air-rail multimodality. 11th EUROSIM Congress. Amsterdam, The Netherlands 03 - 05 Jul 2023

Engage D2.10 10th SESAR Innovation Days report

Technical report

Schaefer, D. and Tanner, G. 2021. Engage D2.10 10th SESAR Innovation Days report. SESAR.

Domino D1.2 - Final Project Results Report

Project report

Delgado, L., Gurtner, G., Cook, A.J. and Tanner, G. 2020. Domino D1.2 - Final Project Results Report. SESAR.

SESAR Knowledge Transfer Network (Engage)

Workshop item

Cook, A.J. 2019. SESAR Knowledge Transfer Network (Engage). SESAR Innovation Days. Athens, Greece 02 - 06 Dec 2019

SESAR 3 ER 1 Green-GEAR – D5.1 – Initial OSED – Green RC

Project report

Bolic, T. 2024. SESAR 3 ER 1 Green-GEAR – D5.1 – Initial OSED – Green RC. Green-GEAR Consortium.

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

Conference paper

Mas-Pujol, S., Delgado, L. and De Falco, P. 2022. Pre-tactical advice using machine learning for Air Traffic Flow Management delay estimation. Airline Group of the International Federation of Operational Research Society (AGIFORs). on-line 11 - 13 May 2022

Better Pricing Strategies for ATM?

Conference paper

Bolić, T, Rigonat, D, Castelli, L, Jovanović, R, Cook, A.J. and Tanner, G. 2014. Better Pricing Strategies for ATM? Schaefer, D. (ed.) Fourth SESAR Innovation Days. Madrid 25 - 27 Nov 2014 SESAR.

Pilot3 D7.2 - Project communication, dissemination and exploitation report

Project report

Delgado, L., De Falco, P., Argerich, C., Valput, D., Gomez, I., Prats, X. and Schultz, R. 2022. Pilot3 D7.2 - Project communication, dissemination and exploitation report.

Domino D6.2 - Stakeholders' consultation on system and investigative case studies

Project report

Delgado, L., Gurtner, G., Tanner, G. and Cook, A.J. 2018. Domino D6.2 - Stakeholders' consultation on system and investigative case studies.

ComplexWorld Position Paper

Technical report

Cook, A.J., Blom, H, Helmke, H, Herranz, R, Lillo, F, Micciche’, S, Perez, D and Rivas, D 2011. ComplexWorld Position Paper. Madrid ComplexWorld Consortium.

Evaluation of passenger connections in air-rail multimodal operations

Conference paper

Weiszer, M., Delgado, L. and Gurtner, G. 2024. Evaluation of passenger connections in air-rail multimodal operations. 14th SESAR Innovation Days. Rome, Italy 12 - 15 Nov 2024 SESAR. https://doi.org/10.34737/wxx30

Modus D4.2 Mobility models description

Project report

Zareian, E., Delgado, L., Cook, A.J., Gregori, E, Bolic, T., Kadour, H., Correas, A. and Paul, A. 2022. Modus D4.2 Mobility models description. SESAR.

Pre-Tactical Prediction of ATFM Delay for Individual Flights

Conference paper

Mas-Pujol, S., De Falco, P., Salamí, E. and Delgado, L. 2022. Pre-Tactical Prediction of ATFM Delay for Individual Flights. 41st Digital Avionics Systems Conference (DASC). Portsmouth, VA, USA 18 - 22 Sep 2022 IEEE . https://doi.org/10.1109/DASC55683.2022.9925761

Prediction of reactionary delay and cost using machine learning

Conference paper

De Falco, P. and Delgado, L. 2021. Prediction of reactionary delay and cost using machine learning. Airline group of the International Federation of Operational Research Society.

Vista D3.1 - Business and Regulatory Scenarios Report

Technical report

Delgado, L., Gurtner, G., Cook, A.J., Plets, H., Huet, D., Perez, D., Cristobal, S., Triska, A, Patey, S. and Andresson, E. I. 2017. Vista D3.1 - Business and Regulatory Scenarios Report.

Applying complexity science to air traffic management

Journal article

Cook, A.J., Blom, H., Lillo, F., Mantegna, R., Miccichè, S., S, Rivas, D., Vázquez, R., Zanin, M. and Mantegnad, R. 2015. Applying complexity science to air traffic management. Journal of Air Transport Management. 42, pp. 149-158. https://doi.org/10.1016/j.jairtraman.2014.09.011