Prediction Model of Flight Plan Departure Procedure Based on Extra-Tree

Flight plan is an important basis for flight operation. In order to improve the fuel economy and reduce unnecessary fuel consumption, it is necessary to accurately predict the departure procedure of the flight plan, so as to determine the trip refuel of the flight. Using artificial intelligence algo...

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Vydáno v:	IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC ... ) (Online) Ročník 10; s. 974 - 978
Hlavní autoři:	Zixuan, Wu, Qisong, Hu, Sheng, Yu, Kaiye, Gao
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 17.06.2022
Témata:	Analytical models artificial intelligence Atmospheric modeling civil aviation Data models energy saving and emission reduction Extra-Trees algorithm flight plan Prediction algorithms Predictive models Software algorithms Software design
ISSN:	2693-2865
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	Flight plan is an important basis for flight operation. In order to improve the fuel economy and reduce unnecessary fuel consumption, it is necessary to accurately predict the departure procedure of the flight plan, so as to determine the trip refuel of the flight. Using artificial intelligence algorithm, this paper constructs a flight departure procedure prediction model by analyzing historical and real-time flight plan, risk control, weather and other data, and integrating dispatchers' business knowledge and experience. The experimental results based on historical data show that the model can accurately predict the departure procedures under multi-complex scene, with high robustness and better performance. The model is being applied in the dispatch scenario of X airlines to assist dispatchers to make decisions based on data.
ISSN:	2693-2865
DOI:	10.1109/ITAIC54216.2022.9836733