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  4. RRT*-Based Algorithm for Trajectory Planning Considering Probabilistic Weather Forecasts
 
research article

RRT*-Based Algorithm for Trajectory Planning Considering Probabilistic Weather Forecasts

Andrés, E.
•
Kamgarpour, Maryam  
•
Soler, M.
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2021
Lecture Notes in Electrical Engineering

Convective weather and its inherent uncertainty constitute one of the major challenges in the air traffic management (ATM) system, entailing both safety hazards and economic losses. In the present work, we propose a stochastic algorithm for trajectory planning that ensures feasibility and safety of the path between two points while avoiding unsafe stormy regions. The uncertain zone to be flown is described by an ensemble of equally likely forecasts. We design a scenario-based optimal rapidly exploring random tree (SB-RRT*), and we able to dynamically allocate risk during its expansion so that a safety margin is not violated. The solution is a safe continuous trajectory that minimizes the distance covered. We present preliminary results assuming weather to be the only source of uncertainty. We consider an aircraft point-mass model at constant altitude and airspeed with manoeuvres being limited by a minimum turning radius. © 2021, Springer Nature Singapore Pte Ltd.

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Type
research article
DOI
10.1007/978-981-33-4669-7_14
Author(s)
Andrés, E.
Kamgarpour, Maryam  
Soler, M.
Sanjurjo-Rivo, M.
González-Arribas, D.
Date Issued

2021

Published in
Lecture Notes in Electrical Engineering
Volume

731 LNEE

Start page

245

End page

258

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
SYCAMORE  
Available on Infoscience
December 1, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/183303
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