Merging Flows in Terminal Manoeuvring Areas via Mixed Integer Linear Programming

Mohammed Sbihi (1) , Marcel Mongeau (2) , Ji Ma (1) , Daniel Delahaye (2)

1 MAIAA - ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l'Aérien
2 IMT - Institut de Mathématiques de Toulouse UMR5219

This paper focuses on the aircraft merging and sequencing problem at Terminal Manoeuvring Areas through the use of Controlled Time of Arrival (CTA). A Mixed-Integer Linear Programming formulation is proposed in order to minimize the number of non achievable CTAs while maintaining separation between aircraft with regard to the horizontal, wake-turbulence, and runway occupancy time constraints. Computational experiments performed on real-world case studies of Paris Charles De-Gaulle (CDG) airport show that the approach is viable.

Mots clés: Aircraft merging and sequencing; Controlled time of arrival; Optimization model; MILP

Domaines: Mathématiques [math]; Optimisation et contrôle [math.OC]

Mohammed Sbihi, Marcel Mongeau, Ji Ma, Daniel Delahaye. Merging Flows in Terminal Manoeuvring Areas via Mixed Integer Linear Programming. GOW'16, XIII Global Optimization Workshop, Sep 2016, Braga, Portugal. pp. 113-116 ; ISBN : 978-989-20-6764-3. ⟨hal-01379323⟩