A Final Approach Precision Management Model Based on Machine Learning
The International Civil Aviation Organization published the Aviation System Block Upgrades in 2016, and mentioned that air traffic management should have a dynamic and time-based separation (TBS) management in the final approach. In this paper, a final approach precision management model is proposed to realize trajectory-level traffic management in the final approach and approach segment. To determine dynamic and TBS minima, a transformer-based model was introduced to realize the TBS concept. It is a new method and model, which is different from the traditional TBS system built by National Air Traffic Service (NATS) and EUROCONTROL in 2012. The experimental results show that TBS values generated by the model suggested, in aerodromes without TBS system, a potential 1-min gap on average from the current separations.
Authors
- Feng Zhu (ORCID: https://orcid.org/0000-0002-9814-6053)
- Xiang Cui (ORCID: https://orcid.org/0009-0002-2215-5620)
- Gang Xiao (ORCID: https://orcid.org/0000-0002-9259-6790)
- Xibei Wei
- Yachuan Liu
- Xiao Shen
- Chang Liu
- Weiqing Yuan
- Xingzhao Gao
- Wenhai Wang
Institutions
- Civil Aviation Administration of China (CN)
- Shanghai Jiao Tong University (CN)
Publication Details
- Journal
- Transportation Research Record Journal of the Transportation Research Board
- Published
- 2026-09-19
- DOI
- https://doi.org/10.1177/03611981261459429
- Primary Topic
- Air Traffic Management and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00