A data-driven method for flight time estimation based on air traffic pattern identification and prediction-Reference-Cited by-同舟云学术

A data-driven method for flight time estimation based on air traffic pattern identification and prediction

Published:2022-11-30 Issue: Volume: Page:1-20
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Yang Chunwei¹^ORCID,Zhang Junfeng¹,Gui Xuhao¹,Peng Zihan¹^ORCID,Wang Bin²

Affiliation:

1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Central and Southern Regional Air Traffic Management Bureau of the CAAC, Guangzhou, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2022.2130693

Reference42 articles.

1. Learning aircraft operational factors to improve aircraft climb prediction: A large scale multi-airport study

2. Learning the aircraft mass and thrust to improve the ground-based trajectory prediction of climbing flights

3. Machine Learning and Mass Estimation Methods for Ground-Based Aircraft Climb Prediction

4. Permutation importance: a corrected feature importance measure

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