CoChat
Sign Up
Cited by 162Air Traffic Management and OptimizationTarget Tracking and Data Fusion in Sensor NetworksAerospace Engineering and Control Systems

The DOI matches its Crossref record.

New Algorithms for Aircraft Intent Inference and Trajectory Prediction

Yepes, Javier Lovera, Hwang, Inseok, Rotea, Mario·2007·Journal of Guidance, Control, and Dynamics
DOI 10.2514/1.26750
Open this paper in CoChat — free account

Abstract

Aircraft tracking, intent inference, and trajectory predictions are important tools for enhanced capacity in air traffic control operations. In this paper, we propose an algorithm that performs these three tasks accurately. The algorithm uses a hybrid estimation algorithm to estimate the aircraft's state and flight mode. These estimates are combined with knowledge about air traffic control regulations, the aircraft's flight plan, and the environment to infer the pilot's intent. Trajectory predictions are computed as a function of the aircraft's motion (state and mode estimates) and the inferred intent The result is an algorithm that provides, in real-time, accurate intent and trajectory predictions for aircraft. We analyze and test the performance of the proposed algorithm with various scenarios representative of current and future aircraft operations within the National Airspace System.

Overview

Integrity signals

Registry

Crossref · 10.2514/1.26750

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 39

  1. Nolan M. S., 2004, Fundamentals of Air Traffic Control
  2. Green S. M., 1998, Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, 1668
  3. Lambrecht M., 1999, Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, 1507
  4. Chatterji G. B., 1999, Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, 1496
  5. Ebrahimi Y., 2001, Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, 1693
  6. Coppenbarger R. A., 1999, Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, 1077
  7. Chan W., 2000, Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, 1684
  8. Chatterji G., 1996, Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit
  9. Wanke C. R., 2003, Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, 2340
  10. Yang L. C., 1998, Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, 797
  11. 10.2514/6.2000-4479 · DOI
  12. 10.2514/1.14348 · DOI
  13. 10.2514/6.2000-168 · DOI
  14. 10.1109/21.257764 · DOI
  15. Zhao Y., 1998, Proceedings of the American Control Conference, 1789
  16. Wing D. J., 2002, Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, 435
  17. Krishnamurthy K., 1999, Proceedings of the AIAA Atmospheric Flight Mechanics Conference and Exhibit, 650
  18. Bar-Shalom Y., 1993, Estimation and Tracking: Principles, Techniques, and Software
  19. 10.1109/87.251886 · DOI
  20. 10.1109/7.640267 · DOI
  21. 10.1109/PROC.1976.10284 · DOI
  22. 10.1017/CBO9780511546150.010 · DOI
  23. Hwang I., 2006, IEE Proceedings Control Theory and Applications
  24. 10.2514/6.2003-5340 · DOI
  25. 10.1109/6979.898217 · DOI
  26. 10.2514/2.4111 · DOI
  27. Innocenti M., 2000, Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, 857
  28. Innocenti M., 1999, Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, 1088
  29. Isaacson D., 1997, Proceedings of the 16th Digital Avionics Systems Conference, 2
  30. Brudnicki D., 1997, Proceedings of the 16th Digital Avionics Systems Conference, 35
  31. 10.1109/21.364830 · DOI
  32. RTCA, 1998, DO-242A
  33. 10.1109/TAES.2003.1261132 · DOI
  34. 10.1007/3-540-45426-8_1 · DOI
  35. Hogg R. V., 1995, Introduction to Mathematical Statistics
  36. 10.2514/2.4081 · DOI
  37. Strang G., 1987, Linear Algebra and its Applications
  38. Maybeck P. S., 1979, Stochastic Models, Estimation, and Control
  39. Lovera Yepes J., 2005, Master's Thesis, Aeronautics and Astronautics Dept.

Cited by

Sorted by citations

  • Status quo and challenges in air transport management research

    Wandelt, S., Antoniou, C., Birolini, S., Delahaye, D., Dresner, M., Fu, X., Gössling, S., Hong, S.-J., Odoni, A. R., Zanin, M., et al. (2024) · Journal of the Air Transport Research Society · doi:10.1016/j.jatrs.2024.100014 · Cited by 67

    “Many efforts have been done in the past for improving the performances of the operation prediction even by Machine Learning ( Yepes et al., 2007 ), but trajectory prediction remains one main challenge for improving the performances of the air traffic management system.”
    Background

Metadata

Authors
Yepes, J. L., Hwang, I., & Rotea, M.
Affiliations
Purdue University West Lafayette (US)
ORCID
Venue
Journal of Guidance, Control, and Dynamics
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Published
2007-03
Volume
30
Issue
2
Pages
370-382
ISSN
  • 0731-5090 (ISSN-L)
  • 1533-3884
DOI
10.2514/1.26750
OpenAlex
W2169030242
Cited by
162
References
0
Citations by year
2026: 7 · 2025: 11 · 2024: 10 · 2023: 9 · 2022: 6 · 2021: 19 · 2020: 15 · 2019: 8 · 2018: 20 · 2017: 9 · 2016: 9 · 2015: 10 · 2014: 1 · 2013: 5 · 2012: 9
FWCI
6.41
Type
journal article
Language
en
Open access
closed
Locations
Journal of Guidance Control and Dynamics (publishedVersion)
Funders
Purdue University
Topics
  • Physical Sciences › Engineering › Aerospace Engineering › Air Traffic Management and Optimization
  • Physical Sciences › Computer Science › Artificial Intelligence › Target Tracking and Data Fusion in Sensor Networks
  • Physical Sciences › Engineering › Aerospace Engineering › Aerospace Engineering and Control Systems
Keywords
trajectory prediction, aircraft tracking, hybrid estimation, air traffic control, flight plan, real-time prediction, National Airspace System

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review