A deep unsupervised learning approach for airspace complexity evaluation

B Li, W Du, Y Zhang, J Chen, K Tang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Airspace complexity is a critical metric in current Air Traffic Management systems for
indicating the security degree of airspace operations. Airspace complexity can be affected …

A spatiotemporal hybrid model for airspace complexity prediction

W Du, B Li, J Chen, Y Lv, Y Li - IEEE Intelligent Transportation …, 2022 - ieeexplore.ieee.org
Airspace complexity is a key indicator that reflects the safety of airspace operations in air
traffic management systems. Furthermore, to achieve efficient air traffic control, it is …

A semi-supervised learning method for air traffic complexity evaluation

X Zhu, K Cai, X Cao - 2017 Integrated Communications …, 2017 - ieeexplore.ieee.org
Air traffic complexity is an essential indicator to evaluate the air traffic situation within one
given airspace, with respect to both the workload of traffic control and the degree of …

A knowledge-transfer-based learning framework for airspace operation complexity evaluation

X Cao, X Zhu, Z Tian, J Chen, D Wu, W Du - Transportation Research Part …, 2018 - Elsevier
A sector is a component airspace whose operation is allocated to an air traffic controller. The
operation complexity of a sector plays a critical role in the current Air Traffic Management …

ATCEM: A synthetic model for evaluating air traffic complexity

M Xiao, J Zhang, K Cai, X Cao - journal of Advanced …, 2016 - Wiley Online Library
Air traffic complexity, which measures the disorder of air traffic distribution, has become the
critical indicator to reflect air traffic controller workload in air traffic management (ATM) …

MAST-GNN: A multimodal adaptive spatio-temporal graph neural network for airspace complexity prediction

B Li, Z Li, J Chen, Y Yan, Y Lv, W Du - Transportation Research Part C …, 2024 - Elsevier
Airspace complexity is defined as an essential indicator to comprehensively measure the
safety of air traffic operational situations. A reliable prediction of airspace complexity can …

[HTML][HTML] Measuring air traffic complexity based on small samples

ZHU Xi, CAO Xianbin, CAI Kaiquan - Chinese Journal of Aeronautics, 2017 - Elsevier
Air traffic complexity is an objective metric for evaluating the operational condition of the
airspace. It has several applications, such as airspace design and traffic flow management …

Learning air traffic as images: A deep convolutional neural network for airspace operation complexity evaluation

H Xie, M Zhang, J Ge, X Dong, H Chen - Complexity, 2021 - Wiley Online Library
A sector is a basic unit of airspace whose operation is managed by air traffic controllers. The
operation complexity of a sector plays an important role in air traffic management system …

Selection and evaluation of air traffic complexity metrics

D Gianazza, K Guittet - 2006 ieee/aiaa 25TH Digital Avionics …, 2006 - ieeexplore.ieee.org
This paper presents an original method to evaluate air traffic complexity metrics. In previous
works, we applied a Principal Component Analysis (PCA) to find the correlations among a …

Determination of air traffic complexity most influential parameters based on machine learning models

F Pérez Moreno, VF Gómez Comendador… - Symmetry, 2022 - mdpi.com
Today, aircraft demand is exceeding the capacity of the Air Traffic Control (ATC) system. As
a result, airspace is becoming a very complex environment to control. The complexity of …