Latest revision as of 17:50, 28 January 2021

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:

• http://www.aviationsystemsdivision.arc.nasa.gov/publications/2009/AF2009163.pdf?origin%3Dpublication_detail

• http://arc.aiaa.org/doi/pdf/10.2514/6.2009-7021,

http://dx.doi.org/10.2514/6.2009-7021

• https://www.aviationsystemsdivision.arc.nasa.gov/publications/2009/AF2009163.pdf,

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