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Distributed scheduling for air traffic throughput maximization during the terminal phase of flight

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4 Author(s)
Rahul Chipalkatty ; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, 30332, USA ; Philip Twu ; Amir Rahmani ; Magnus Egerstedt

FAA's NextGen program aims at increasing the capacity of the national airspace, while ensuring the safety of aircraft. This paper provides a distributed merging and spacing algorithm that maximizes the throughput at the terminal phase of flight using the information provided through the ADS-B framework. Using dual decomposition, aircraft negotiate with each other and reach an agreement on optimal merging times, with respect to an associated cost, that ensures proper inter-aircraft spacing. We provide a feasibility analysis that gives sufficient conditions to guarantee that proper spacing is achievable and derive maximum throughput controllers based on the air traffic characteristics of the merging flight paths.

Published in:

49th IEEE Conference on Decision and Control (CDC)

Date of Conference:

15-17 Dec. 2010