Dynamically adjusting network architecture for congestion optimization in terminal airspace

In this busy world of the 21st century, flying has almost indefinitely become the most preferred mode of travelling for all sorts of travelers. Consequentially, an increased density of passengers in any given airport at a particular point in time has been on the rise. This poses a certain challenge for existing airports around the world, thereby placing their capacities as well as efficiency at a test. The standing procedure followed by Air Traffic Control (ATC) for managing the departure and arrival of aircraft is predominantly based on the `First Come, First Serve´ (FCFS) system that does not take into account the exterior environmental conditions being endured by the airplanes. This however, should be envisioned as one of the chief factors that determines the arrival as well as the delay time for an airliner to land on any runway strip, at any given point in time. Most of the operators can equip their aircraft with high-end automation which further raises various questions: Is the FCFS a just policy? Is it possible to replace FCFS with `best capable best served´ without compromising with the way air traffic is currently handled? Is it fair to provide additional benefits to those who can afford to equip? The structure suggested in this paper proposes to revamp this preexisting system from FCFS to `Best Equipped Best Served´ (BEBS) as and when required. The suggested model involves switching from FCFS to BEBS when either the runway cannot be accessed by all aircraft or when the conditions permit only specialized carriers to utilize the services of the airport.