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A platform for research: civil engineering, architecture and urbanism
Robust Flight Planning Impact Assessment Considering Convective Phenomena
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. ; 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. ; Publicado
Robust Flight Planning Impact Assessment Considering Convective Phenomena
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. ; 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. ; Publicado
Robust Flight Planning Impact Assessment Considering Convective Phenomena
García-Heras Carretero, Javier (author) / Soler Arnedo, Manuel Fernando (author) / González Arribas, Daniel (author) / Eschbacher, Kurt (author) / Rokitansky, Carl-Herbert (author) / Sacher, Daniel (author) / Gelhardt, Ulrike (author) / Lang, Juergen (author) / Hauf, Thomas (author) / Simarro, Juan (author)
2021-02-05
AR/0000026957
Article (Journal)
Electronic Resource
English
DDC:
710