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A 4D trajectory generation infrastructure tool for controller working position

  • Istanbul Technical University
  • Scientific and Technological Research Council of Turkey

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

4 Atıf (Scopus)

Özet

Aircraft trajectory prediction refers to an estimate of the future positions of a flight for a given look ahead time. In the context of achieving safe and seamless traffic management, efficient and modular trajectory prediction tools will be the crucial functions in future trajectory based operations. The main objective of this paper is to present a highly scalable trajectory generation infrastructure (TGI) that is capable of predicting 4D trajectories for given initial conditions and flight plans, detecting conflicts and providing separation maneuvers, avoiding restricted regions declared as NOTAM, calculating air sector entry/exit and occupancy times. The proposed TGI includes advanced aircraft performance models based on BADA (Base of Aircraft Data), standard navigation functions, standardized interface for operational rules of airspace inputs (i.e. airports, navaids, fixes, Standard Instrument Departure Route (SID), Standard Arrival Route (STAR) procedures), trajectory control algorithms, conflict detection functions and conflict resolution action library. The developed tool provides a comprehensive platform for air traffic control research, and the its functions are explained throughout this paper.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2017 IEEE/AIAA 36th Digital Avionics Systems Conference, DASC 2017 - Proceedings
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781538603659
DOI'lar
Yayın durumuYayınlandı - 8 Kas 2017
Etkinlik36th IEEE/AIAA Digital Avionics Systems Conference, DASC 2017 - St. Petersburg, United States
Süre: 17 Eyl 201721 Eyl 2017

Yayın serisi

AdıAIAA/IEEE Digital Avionics Systems Conference - Proceedings
Hacim2017-September
ISSN (Basılı)2155-7195
ISSN (Elektronik)2155-7209

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???event.eventtypes.event.conference???36th IEEE/AIAA Digital Avionics Systems Conference, DASC 2017
Ülke/BölgeUnited States
ŞehirSt. Petersburg
Periyot17/09/1721/09/17

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

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