Abstract
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.
Original language | English |
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Title of host publication | 2017 IEEE/AIAA 36th Digital Avionics Systems Conference, DASC 2017 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781538603659 |
DOIs | |
Publication status | Published - 8 Nov 2017 |
Event | 36th IEEE/AIAA Digital Avionics Systems Conference, DASC 2017 - St. Petersburg, United States Duration: 17 Sept 2017 → 21 Sept 2017 |
Publication series
Name | AIAA/IEEE Digital Avionics Systems Conference - Proceedings |
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Volume | 2017-September |
ISSN (Print) | 2155-7195 |
ISSN (Electronic) | 2155-7209 |
Conference
Conference | 36th IEEE/AIAA Digital Avionics Systems Conference, DASC 2017 |
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Country/Territory | United States |
City | St. Petersburg |
Period | 17/09/17 → 21/09/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- Air Traffic Control
- Air Transportation
- Trajectory Prediction