An Automated Emergency Airport and Off-Airport Landing Site Selector

Raúl Sáez (1) , Ioan Octavian (1) , Xavier Prats (1) , Benoît Viry (2) , Patrice Gonzalez (2) , Andréas Guitart (3) , Daniel Delahaye (3) , Olivier Larrieu , Kamel Rebaï

1 UPC - Universitat Politècnica de Catalunya = Université polytechnique de Catalogne [Barcelona]
2 CGX AERO
3 ENAC - Ecole Nationale de l'Aviation Civile

We present a novel landing site selector capable of selecting suitable landing sites (airport and off-airport) for emergency landings. In a first step, information from several databases which includes, for instance, elevation data, is gathered by our system. Then, this information is processed in order to create a list of potential landing sites ranked according to several factors, such as the characteristics of the runway, the type of emergency or the current weather. A generic scenario and case studies have been defined in order to test the landing site selector, ultimately leading to a series of trajectories-generated with an emergency trajectory generator presented in previous publications-safely leading the aircraft to one of the landing sites chosen by our system.

Mots clés: Aircraft emergency planning; Safety; Landing Site Selection; Automation

Domaines: Intelligence artificielle [cs.AI]

Raúl Sáez, Ioan Octavian, Xavier Prats, Benoît Viry, Patrice Gonzalez, et al.. An Automated Emergency Airport and Off-Airport Landing Site Selector. 41th Digital Avionics Systems Conference 2022, Sep 2022, Portsmouth, United States. ⟨hal-03752594⟩