The volume of air traffic has experienced rapid growth in recent years, leading to a significant increase in airspace pressure. Therefore, conventional flight procedures can no longer meet the current demands and require prompt optimization. Quick access record (QAR) data, collected from civil aircrafts, offer a unique contribution to flight procedure optimization by deviating from practical tracks. In this study, we examine specific flight paths near Tianjin Binhai International Airport. The QAR data were pre-processed and the tracks were clustered using the K-means clustering algorithm. These clustered tracks were then compared with the standard flight procedures, enabling the proposal of strategies for flight procedure optimization.
Flight procedure optimization based on quick access record (QAR) data
2023-10-11
4191429 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Optimization of Flight Procedure Method Based on Track Clustering
Springer Verlag | 2023
|NTIS | 1968
|Online Contents | 1998
|Engineering Index Backfile | 1928
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