RT Journal Article
T1 Informed scenario-based RRT* for aircraft trajectory planning under ensemble forecasting of thunderstorms
A1 González Arribas, Daniel
A1 Soler Arnedo, Manuel Fernando
A1 Sanjurjo Rivo, Manuel
A1 Andrés Endériz, Eduardo
A1 Kamgarpour, Maryam
AB Thunderstorms represent a major hazard for flights, as they compromise the safety of both theairframe and the passengers. To address trajectory planning under thunderstorms, three variantsof the scenario-based rapidly exploring random trees (SB-RRTs) are proposed. During an iterativeprocess, the so-called SB-RRT, the SB-RRT* and the Informed SB-RRT* find safe trajectories bymeeting a user-defined safety threshold. Additionally, the last two techniques converge to solutionsof minimum flight length. Through parallelization on graphical processing units therequired computational times are reduced substantially to become compatible with near real-timeoperation. The proposed methods are tested considering a kinematic model of an aircraft flyingbetween two waypoints at constant flight level and airspeed; the test scenario is based on arealistic weather forecast and assumed to be described by an ensemble of equally likely members.Lastly, the influence of the number of scenarios, safety margin and iterations on the results isanalyzed. Results show that the SB-RRTs are able to find safe and, in two of the algorithms, closeto-optimum solutions.
PB Elsevier
SN 0968-090X
YR 2021
FD 2021-08
LK https://hdl.handle.net/10016/34149
UL https://hdl.handle.net/10016/34149
LA eng
NO This work has received funding from (1) the Spanish Government (Project RTI2018-098471-B-C32) and (2) the SESAR JointUndertaking under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 783287.
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RD 27 jul. 2024