A 4D trajectory generation infrastructure tool for controller working position

Baris Baspinar, Mevlut Uzun, Ahmet Faik Guven, Tolga Basturk, Isa Tasdelen, Emre Koyuncu, Gokhan Inalhan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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 languageEnglish
Title of host publication2017 IEEE/AIAA 36th Digital Avionics Systems Conference, DASC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538603659
DOIs
Publication statusPublished - 8 Nov 2017
Event36th IEEE/AIAA Digital Avionics Systems Conference, DASC 2017 - St. Petersburg, United States
Duration: 17 Sept 201721 Sept 2017

Publication series

NameAIAA/IEEE Digital Avionics Systems Conference - Proceedings
Volume2017-September
ISSN (Print)2155-7195
ISSN (Electronic)2155-7209

Conference

Conference36th IEEE/AIAA Digital Avionics Systems Conference, DASC 2017
Country/TerritoryUnited States
CitySt. Petersburg
Period17/09/1721/09/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Air Traffic Control
  • Air Transportation
  • Trajectory Prediction

Fingerprint

Dive into the research topics of 'A 4D trajectory generation infrastructure tool for controller working position'. Together they form a unique fingerprint.

Cite this