A new research applies singular control theory to optimize trajectories of commercial airplanes in a vertical plane. Our journal paper titled “Multi-control commercial aircraft trajectory optimization in a vertical plane with state-inequality constraints via singular control theory”, has been written by Amin Jafarimoghaddam as main author, and coauthored by prof. Manuel Soler, both from the AircraftContinue reading “Advancing Multi-control Commercial Aircraft Trajectory Optimization”
Category Archives: Dissemination
New publication: “Performance impact assessment of reducing separation minima for en-route operations”
Our paper titled “Performance impact assessment of reducing separation minima for en-route operations”, shows that a separation minima reduction can bring significant fuel savings, flight delay reduction, air traffic controller workload drop, and improve safety. It has been coauthored by prof. Javier García-Heras from the Aircraft Operations Lab UC3M and several researchers from Universidad PolitécnicaContinue reading “New publication: “Performance impact assessment of reducing separation minima for en-route operations””
Success Stories from SESAR Innovation Days 2023
On November 27 to 30 we attended the SESAR Innovation Days 2023 at the University of Seville featuring two standout projects from the Universidad Carlos III de Madrid’s Aircraft Operations Lab—E-CONTRAIL and KAIROS. Driving commitment to the near future of green aviation through E-CONTRAIL Under the UC3M’s coordination, E-CONTRAIL showcased its commitment to sustainable aviationContinue reading “Success Stories from SESAR Innovation Days 2023”
CNN-based architectures can be used to increase the prediction lead time of thunderstorms
Our latest research shows that Convolutional Neural Networks (CNN)-based architectures can be used to increase the prediction lead time of thunderstorms in the aviation field. These results are published in the journal paper titled “Thunderstorm prediction during pre-tactical air-traffic-flow management using convolutional neural networks”. A study written by Aniel Jardinesa, Hamidreza Eivazib, Elias Zeab, Javier García-Herasa,Continue reading “CNN-based architectures can be used to increase the prediction lead time of thunderstorms”
Attending the 76th Annual Meeting of the APS Division of Fluid Dynamics
On November 19-21 we travelled to Washington DC to attend the 76th Annual Meeting of the APS DFD (American Physical Society’s Division of Fluid Dynamics). The Aircraft Operations Lab from Universidad Carlos III de Madrid was represented by Álvaro Moreno Soto, who presented an approach to weather prediction, leveraging Physics-Informed Neural Networks (PINNs). PERSEVERE ProjectContinue reading “Attending the 76th Annual Meeting of the APS Division of Fluid Dynamics”