Trajectory-based operations (TBO) are one of the cornerstones of a modernised air traffic management (ATM) system. The TBO operational concept takes into account the trajectory of every aircraft during all phases of the flight and manages their interactions (with other trajectories or hazards) to achieve the optimum system outcome, with minimal deviation from the user-requested flight trajectory whenever possible.
However, as TBO is based on a constant exchange of information concerning trajectories between the ground and air systems, uncertainties inherent in the ATM system sometimes lead to a degradation of its performance when disruptions occur.
The EU-funded START project aims to design, apply and verify optimised algorithms that will enable a robust ATM system which not only copes with conventional air traffic but is also resilient in disrupted circumstances as well. In this respect, using AI, data science and applied mathematics, START will model uncertainties related to both individual trajectories and at the network level in extreme weather conditions.
This project has received funding from the SESAR Joint Undertaking under the European Union's Horizon 2020 research and innovation programme under grant agreement No 893204.
UNIVERSIDAD CARLOS III DE MADRID (Coordinator), Spain
UNIVERSITAT POLITECNICA DE CATALUNYA, Spain
ISTANBUL TEKNIK UNIVERSITESI, Turkey
ECOLE NATIONALE DE L AVIATION CIVILE, France
FLIGHTKEYS GMBH, Austria
DEUTSCHES ZENTRUM FUER LUFT - UND RAUMFAHRT EV, Germany
BOEING DEUTSCHLAND GMBH, Germany