Real Time Aircraft Atypical Approach Detection for Air Traffic Control

Gabriel Jarry (1) , Daniel Delahaye (1) , Stéphane Puechmorel (1) , Eric Féron (2)

1 ENAC - Ecole Nationale de l'Aviation Civile
2 Georgia Institute of Technology [Atlanta]

In this paper, a complete tool for real-time detection of atypical energy behaviors of airplanes is presented. The methodology extends in real time an existing offline process using Dubins trajectories as a predictor of the remaining distance to the runway threshold. Two major contributions are presented in this paper. First, a real-time measure of the aircraft energy behaviour is defined, indicating whether the aircraft is in good condition to intercept the extended runway centreline from its current position. Secondly, a 2D trajectory suggestion is given, allowing safe management of the approach path according to atypical criteria of historical data. Finally, this document proposes a comprehensive tool for air traffic controllers, which is a major step forward in understanding, becoming aware of and resolving critical situations that could lead to accidents.

Mots clés: Approach Path Management; Atypical Flight Event; Non-Compliant Approach; Real Time; Anomaly Detection; Functional Principal Component Analysis; Unsupervised Learn- ing; Dubins Path; Unsupervised Learning

Domaines: Optimisation et contrôle [math.OC]

Gabriel Jarry, Daniel Delahaye, Stéphane Puechmorel, Eric Féron. Real Time Aircraft Atypical Approach Detection for Air Traffic Control. 2021. ⟨hal-03163779⟩