Application of Non-Negative Tensor Factorization for Airport Flight Delay Pattern Recognition
With the rapid development of civil aviation transportation in China, huge demand growth has broken the balance between supply and demand, resulting in airspace congestion and increasing flight delays. The delays of large airports have been increasing year by year, which has seriously affected the a...
Main Authors: | Han Zhong, Geqi Qi, Wei Guan, Xiaochen Hua |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8911489/ |
Similar Items
-
Characterizing Flight Delay Profiles with a Tensor Factorization Framework
by: Mingyuan Zhang, et al.
Published: (2021-04-01) -
Flight delay performance at Hartsfield-Jackson Atlanta International Airport
by: Grigoriy Yablonsky, et al.
Published: (2014-01-01) -
Prediction of Flight Delays at <i>Beijing</i> Capital International Airport Based on Ensemble Methods
by: Xunuo Wang, et al.
Published: (2022-10-01) -
Statistical Analysis of Weather Parameters for Sustainable Flight Operation in Nigeria
by: Olabode Abiodun Daniel
Published: (2021-11-01) -
A novel intelligent approach for flight delay prediction
by: Maged Mamdouh, et al.
Published: (2023-12-01)