RT Journal Article
T1 Robust Flight Planning Impact Assessment Considering Convective Phenomena
A1 García-Heras Carretero, Javier
A1 Soler Arnedo, Manuel Fernando
A1 González Arribas, Daniel
A1 Eschbacher, Kurt
A1 Rokitansky, Carl-Herbert
A1 Sacher, Daniel
A1 Gelhardt, Ulrike
A1 Lang, Juergen
A1 Hauf, Thomas
A1 Simarro, Juan
A1 Valenzuela, Alfonso
A1 Franco, Antonio
A1 Rivas, Damián
AB Thunderstorms are one of the leading causes of Air Traffic Management delays. In this paper, we assess how incorporating convective information into flight planning algorithms can lead to reductions in reroutings due to storm encounters during the execution of the flight. We use robust open-loop optimal control methodology at the flight planning level and incorporate meteorological uncertainties based on Ensemble Prediction System forecasts. Convective risk areas can be derived from the latter to be included in the objective function. At the execution level, the planned trajectories are included in an air traffic simulator (NAVSIM) under observed weather (wind and storms). In this simulation process, track modifications might be triggered in case of encountering an observed thunderstorm. A tool termed DIVMET based on pathfinding algorithms has been integrated into NAVSIM is considered to that end. Results show that planning robust trajectories (avoiding thus convective areas) reduces the number of storms encounters and increases predictability. This increase in predictability is at a cost in terms of fuel and time, also quantified.
PB Elsevier
SN 0968-090X
YR 2021
FD 2021-02-05
LK https://hdl.handle.net/10016/32419
UL https://hdl.handle.net/10016/32419
LA eng
NO This work has been supported by TBO-MET project (https://tbomet-h2020.com/), which has received funding from the SESAR JU under grant agreement No 699294 under EU’s Horizon 2020 research and innovation programme. Consortium members are UNIVERSIDAD DE SEVILLA (Coordinator), AEMET (Agencia Española de Meteorología), METEOSOLUTIONS GmbH, PARIS-LODRON-UNIVERSITAT  SALZBURG, and UNIVERSIDAD CARLOS III DE MADRID.
DS e-Archivo
RD 27 jul. 2024