Prediction Method of Aircraft Dynamic Taxi Time Based on XGBoost

Prediction Method of Aircraft Dynamic Taxi Time Based on XGBoost

Accurate and dynamic prediction of aircraft arrival and departure taxi time can effectively improve the operation efficiency of the airport. An aircraft dynamic taxi time prediction method based on XGBoost is proposed for the first time. Firstly,the key characteristic index of variable taxi time pre...

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Bibliographic Details
Main Authors: ZHAO Zheng, FENG Shicheng, SONG Meiwen, HU Li, LU Sha
Format: Article
Language:zho
Published: Editorial Department of Advances in Aeronautical Science and Engineering 2022-02-01
Series:Hangkong gongcheng jinzhan
Subjects:
air transportation
dynamic taxi time
machine learning
xgboost
sample size
Online Access:http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2021064?st=article_issue

Internet

http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2021064?st=article_issue

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