PBN-Based time-optimal terminal air traffic control using cellular automata

Enayatollahi, F ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1109/TAES.2020.3048787
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2021
  4. Abstract:
  5. Over the last decade, there has been an increase in air transportation, which has raised awareness to provide necessary procedures to respond to air transportation demands and reduce delay costs. One such procedure, 'performance-based navigation (PBN),' currently studied, is expected to increase the airspace capacity based on aircraft's individual performances. This research describes an efficient and expandable model for allocating standard terminal arrival route during continuous descent approach (CDA) that effectively uses PBN requirements. As a case study, we have considered the 'Atlanta International Airport' and verified the model's accuracy using real-time traffic data. The model is then used to study mixed traffic behavior concerning each aircraft's navigation capability. We show that our technique helps decrease time separation minima, reducing traffic delays by up to 50% during busy periods. Furthermore, we show that our approach could enhance target traffic flow by as much as 25% while maintaining proper separation minima. Finally, we show that near-optimal control advisory could also be obtained to minimize the target traffic flow's total delay. © 1965-2011 IEEE
  6. Keywords:
  7. Air traffic control ; Air transportation ; Aircraft ; Cellular automata ; Continuous descent approach ; Individual performance ; International airport ; Near-optimal control ; Real-time traffic datum ; Standard terminal arrival routes ; Terminal air traffic control ; Transportation demand ; Air navigation
  8. Source: IEEE Transactions on Aerospace and Electronic Systems ; Volume 57, Issue 3 , 2021 , Pages 1513-1523 ; 00189251 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/9312448