Fuel and time savings by flying continuous cruise climbs: Estimating the benefit pools for maximum range operations R Dalmau, X Prats Transportation Research Part D: Transport and Environment 35, 62-71, 2015 | 87 | 2015 |
A framework for collaborative air traffic flow management minimizing costs for airspace users: Enabling trajectory options and flexible pre-tactical delay management Y Xu, R Dalmau, M Melgosa, A Montlaur, X Prats Transportation Research Part B: Methodological 134, 229-255, 2020 | 46 | 2020 |
A fast and flexible aircraft trajectory predictor and optimiser for atm research applications R Dalmau, M Melgosa, S Vilardaga, X Prats Proceedings of the 8th International Conference for Research in Air …, 2018 | 40 | 2018 |
An explainable machine learning approach to improve take-off time predictions R Dalmau, F Ballerini, H Naessens, S Belkoura, S Wangnick Journal of Air Transport Management 95, 102090, 2021 | 34 | 2021 |
Controlled time of arrival windows for already initiated energy-neutral continuous descent operations R Dalmau, X Prats Transportation Research Part C: Emerging Technologies 85, 334-347, 2017 | 34 | 2017 |
Identifying the sources of flight inefficiency from historical aircraft trajectories. A set of distance-and fuel-based performance indicators for post-operational analysis. X Prats Menéndez, R Dalmau Codina, C Barrado Muxí Proceedings of the 13th USA/Europe Air Traffic Management Research and …, 2019 | 33 | 2019 |
Air traffic control using message passing neural networks and multi-agent reinforcement learning R Dalmau, E Allard Proceedings of the 10th SESAR Innovation Days, Virtual Event, 7-10, 2020 | 30 | 2020 |
Improving the predictability of take-off times with Machine Learning: A case study for the Maastricht upper area control centre area of responsibility R Dalmau Codina, S Belkoura, H Naessens, F Ballerini, S Wagnick Proceedings of the 9th SESAR Innovation Days, 1-8, 2019 | 27 | 2019 |
Estimation and prediction of weather variables from surveillance data using spatio-temporal Kriging R Dalmau, M Pérez-Batlle, X Prats 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC), 1-8, 2017 | 26 | 2017 |
Maximizing airborne delay at no extra fuel cost by means of linear holding Y Xu, R Dalmau, X Prats Transportation Research Part C: Emerging Technologies 81, 137-152, 2017 | 23 | 2017 |
How much fuel and time can be saved in a perfect flight trajectory? R Dalmau, X Prats Universitat Politècnica de Catalunya, 2014 | 21 | 2014 |
A machine learning approach to predict the evolution of air traffic flow management delay R Dalmau, B Genestier, C Anoraud, P Choroba, D Smith 14th ATM Res. Develop. Seminar 8, 2021 | 17 | 2021 |
Estimating fuel consumption from radar tracks: a validation exercise using FDR and radar tracks from descent trajectories R Dalmau, X Prats, A Ramonjoan, S Soley CEAS Aeronautical Journal 11 (2), 355-365, 2020 | 15 | 2020 |
Optimal assignment of 4D close-loop instructions to enable CDOs in dense TMAs R Sáez, R Dalmau, X Prats 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), 1-10, 2018 | 15 | 2018 |
Arrival traffic synchronisation with Required Time of Arrivals for fuel-efficient trajectories A Pawełek, R Dalmau, P Lichota, X Prats The American Institute of Aeronautics and Astronautics, 2017 | 15 | 2017 |
Assessing the impact of relaxing cruise operations with a reduction of the minimum rate of climb and/or step climb heights R Dalmau, X Prats Aerospace Science and Technology, 2017 | 15 | 2017 |
Fuel-efficient trajectories traffic synchronization A Pawełek, P Lichota, R Dalmau, X Prats Journal of aircraft 56 (2), 481-492, 2019 | 14 | 2019 |
Predicting the likelihood of airspace user rerouting to mitigate air traffic flow management delay R Dalmau Transportation Research Part C: Emerging Technologies 144, 103869, 2022 | 13 | 2022 |
Real-time identification of guidance modes in aircraft descents using surveillace data R Dalmau, M Pérez-Batlle, X Prats 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), 1-10, 2018 | 13 | 2018 |
Combining the assignment of pre-defined routes and RTAs to sequence and merge arrival traffic JAXP Ramon Dalmau 17th AIAA Aviation Technology, Integration, and Operations Conference …, 2017 | 13* | 2017 |