Publications

Journal Papers

  • Dalmau, R., Gawinowski, G., and Anoraud, C., Comparison of various temporal air traffic flow management models in critical scenarios, Journal of Air Transport Management, 105: 102284. 2022. (https://doi.org/10.1016/j.jairtraman.2022.102284)
  • Jardines, A., Soler, M., Cervantes, A. García-Heras, J. and Simarro, J. (2021): Convection indicator for pre-tactical air traffic flow management using neural networks. In: Machine Learning with Applications,100053 (https://doi.org/10.1016/j.mlwa.2021.100053)
  • Chen, Y., Hu, M., Xu, Y. and Yang, L., Locally Generalized Multi-agent Reinforcement Learning for Demand and Capacity Balancing with Customized Neural Networks. Chinese Journal of Aeronautics. 2022. (Accepted).
  • Aniel Jardines, Manuel Soler, Javier García-Heras, Juan Simarro, Alfons Callado-Pallarés. Predicting Cloud-top height and Overshoots using LSTM Neural Network. Advances in Atmospheric Sciences. (Submitted).
  • Chen, Y., Xu, Y. and Hu, M., 2022. General Multi-agent Reinforcement Learning Integrating Heuristic-based Delay Priority Strategy for Demand and Capacity Balancing. Preprint submitted to Transportation Research Part-C. (Under Review). Available at SSRN: https://ssrn.com/abstract=4241524 or http://dx.doi.org/10.2139/ssrn.4241524.
  • Ivan Martinez Vidal, Aniel Jardines, Manuel Soler, Alejandro Cervantes, and Javier García-Heras, Predicting Air Traffic Flow Management Regulations due to Weather using Convolutional Neural Networks. (Submitted).
  • Aniel Jardines, Matteo Ponzano, Manuel Soler, Javier García-Heras, and Laure Raynaud, Convection Prediction for Air Traffic Flow Management using LSTM Neural Network. Expert Systems with Applications. (Submitted). 

Conference Papers

  • Dalmau, R., Gawinowski, G., and Anoraud, C., Optimal Air Traffic Flow Management Regulations Scheme with Adaptive Large Neighbourhood Search, In 12th SESAR Innovation Days (SID), Budapest, Hungary, 2022. [link for the paper]
  • Khassiba, A., and Delahaye, D., Simulated-Annealing Hyper-Heuristic for Demand-Capacity Balancing in Air Traffic Flow Management , In 12th SESAR Innovation Days (SID), Budapest, Hungary, 2022. [link for the paper]
  • Jardines, A., Soler, M., García-Heras, J., Ponzano, M., Raynaud, L., Rottner, L., Simarro, J., and Rey, F.: Predicting Convective Storm Characteristics using Machine Learning from Hi-Resolution NWP Forecasts, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-7516, (https://doi.org/10.5194/egusphere-egu21-7516 [following the link, you will also find a teaser video])
  • C. Huang and Y. Xu, Integrated Frameworks of Unsupervised, Supervised and Reinforcement Learning for Solving Air Traffic Flow Management Problem, 40th IEEE/AIAA Digital Avionics Systems Conference (DASC), San Antonio, USA, October 3-7, 2021. [link for the paper]
  • Y. Tang and Y. Xu, Multi-Agent Deep Reinforcement Learning for Solving Large-Scale Air Traffic Flow Management Problem: A Time-Step Sequential Decision Approach, 40th IEEE/AIAA Digital Avionics Systems Conference (DASC), San Antonio, USA, October 3-7, 2021. [link for the paper]

Workshop Presentations

  •  Ponzano, M., Raynaud, L., Sanchez Cidoncha, M., Gawinowski, G., Soler Arnedo, M. F., Jardines, A., Simarro, J., Zheng, D., Xu, Y., Bastie, E., Arnould, B., Rey, F., Khassiba, A., Peuaud, A., and Carré, M.: ISOBAR SESAR – Artificial intelligence solutions to meteo-based air traffic imbalances for network operations planning, EMS Annual Meeting 2022, Bonn, Germany, 5–9 Sep 2022, EMS2022-122, https://doi.org/10.5194/ems2022-122, 2022. 
  • Talk by Aniel Jardines “Applying LSTM to High Resolution Numerical Weather Products for Convection Prediction” in SRNWP-EPS Workshop hosted by AEMET. Wednesday 27/10 at 14:30.
  • Aniel Jardines will be presenting “Applying LSTM to High Resolution Numerical Weather Products for Convection Prediction” in Numerical Wildfire Workshop taking place at Institute D’études Scientifiques De Cargèse November 18th, 2021.