Abstract
Climb prediction uncertainty is a major source of error in trajectory-based automation for air traffic management. An algorithm to detect conflicts in the volume of airspace between fast-climb-rate and slow-climb-rate trajectories for climbing flights in the strategic detection time frame of 3-8 minutes was developed and evaluated using 12 hours of actual Fort Worth Center Host traffic data. Results indicate that conflict detections involving at least one climbing flight were made 2 minutes earlier on average using this multi-trajectory conflict detection algorithm than using a single-trajectory algorithm. Furthermore, although there were 55% more conflict detections using the multi-trajectory algorithm, only 15% of these additional detections were false alerts.
Original document
The different versions of the original document can be found in:
- https://www.aviationsystems.arc.nasa.gov/publications/2009/AF2009163.pdf,
- http://www.aviationsystemsdivision.arc.nasa.gov/publications/2009/AF2009163.pdf,
- https://arc.aiaa.org/doi/10.2514/6.2009-7021,
- http://enu.kz/repository/2009/AIAA-2009-7021.pdf,
- http://www.aviationsystems.arc.nasa.gov/publications/2009/AF2009163.pdf,
- https://academic.microsoft.com/#/detail/2117208649
Document information
Published on 01/01/2009
Volume 2009, 2009
DOI: 10.2514/6.2009-7021
Licence: CC BY-NC-SA license
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