Optimization-Based Autonomous Air Traffic Control for Airspace Capacity Improvement

Bars Baspnar*, Hamsa Balakrishnan, Emre Koyuncu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

In order to handle increasing demand in air transportation, high-level automation support seems inevitable. This article presents an optimization-based autonomous air traffic control (ATC) system and the determination of airspace capacity with respect to the proposed system. We model aircraft dynamics and guidance procedures for simulation of aircraft motion and trajectory prediction. The predicted trajectories are used during decision process and simulation of aircraft motion is the key factor to create a traffic environment for estimation of airspace capacity. We define the interventions of an air traffic controller (ATCo) as a set of maneuvers that is appropriate for real air traffic operations. The decision process of the designed ATC system is based on integer linear programming (ILP) constructed via a mapping process that contains discretization of the airspace with predicted trajectories to improve the time performance of conflict detection and resolution. We also present a procedure to estimate the airspace capacity with the proposed ATC system. This procedure consists of constructing a stochastic traffic simulation environment that includes the structure of the evaluated airspace. The approach is validated on real air traffic data for enroute airspace, and it is also shown that the designed ATC system can manage traffic much denser than current traffic.

Original languageEnglish
Article number9120233
Pages (from-to)4814-4830
Number of pages17
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume56
Issue number6
DOIs
Publication statusPublished - Dec 2020

Bibliographical note

Publisher Copyright:
© 1965-2011 IEEE.

Funding

The work of B. Bas¸pınar was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) with International Doctoral Research Fellowship.

FundersFunder number
TUBITAK
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

    Keywords

    • Air traffic control (ATC)
    • airspace capacity estimation
    • conflict detection and resolution
    • integer linear programming (ILP)

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