Recent progress in air traffic flow management: A review

Y Chen, Y Zhao, Y Wu - Journal of Air Transport Management, 2024 - Elsevier
With the burgeoning expansion of air transportation, the imbalance between airspace
capacity and demand is significantly prominent around the world. Air traffic flow …

Aircraft trajectory clustering in terminal airspace based on deep autoencoder and gaussian mixture model

W Zeng, Z Xu, Z Cai, X Chu, X Lu - Aerospace, 2021 - mdpi.com
The aircraft trajectory clustering analysis in the terminal airspace is conducive to determining
the representative route structure of the arrival and departure trajectory and extracting their …

On the ramifications of airspace bans in aero-political conflicts: Towards a country importance ranking

X Wang, J Zhang, S Wandelt - Transport Policy, 2023 - Elsevier
The aviation industry is facing highly volatile developments in the recent years: Following a
steady growth phase with prosperous projections, the COVID-19 pandemic has hit the …

Assessing impacts of the Russia-Ukraine conflict on global air transportation: From the view of mass flight trajectories

C Chu, H Zhang, J Zhang, L Cong, F Lu - Journal of Air Transport …, 2024 - Elsevier
Air transportation has been severely affected by the Russia-Ukraine conflict. The closure of
involved Russian and Ukrainian airspace made a great number of flights suffer from a …

[HTML][HTML] Predicting aircraft trajectory uncertainties for terminal airspace design evaluation

X Zhu, N Hong, F He, Y Lin, L Li, X Fu - Journal of Air Transport …, 2023 - Elsevier
The terminal airspace that surrounds an airport is the area with high flight density and
complex structure. Aircraft are asked to follow the standard arrival and departure routes in …

Modeling and characterization of traffic flow patterns and identification of airspace density for UTM application

AA Alharbi, I Petrunin, D Panagiotakopoulos - IEEE Access, 2022 - ieeexplore.ieee.org
Current airspace has limited resources, and the widespread use of unmanned aerial
vehicles (UAVs) increases airspace density, which is already crowded with manned aircraft …

A data-driven probabilistic trajectory model for predicting and simulating terminal airspace operations

MCR Murça, MW de Oliveira - 2020 AIAA/IEEE 39th Digital …, 2020 - ieeexplore.ieee.org
The development of flight trajectory models that can efficiently predict and simulate air traffic
operations is an important step to support novel concepts in Air Traffic Management (ATM) …

Characteristics of Air Traffic Flow in Terminal Airspace: A Multiplex Recurrence Network Analysis

F Jiang, Z Zhang - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
We introduce a novel data analytics framework, using a multiplex recurrence network (MRN)
to analyze flight tracking flow fluctuations in multi-airport terminal areas, with a case study on …

Extracting stops from spatio-temporal trajectories within dynamic contextual features

T Wu, H Shen, J Qin, L Xiang - Sustainability, 2021 - mdpi.com
Identifying stops from GPS trajectories is one of the main concerns in the study of moving
objects and has a major effect on a wide variety of location-based services and applications …

Identification of Traffic Flow Spatio-Temporal Patterns and Their Associated Weather Factors: A Case Study in the Terminal Airspace of Hong Kong

W Zhang, W Pan, X Zhu, C Yang, J Du, J Yin - Aerospace, 2024 - mdpi.com
In this paper, a data-driven framework aimed at investigating how weather factors affect the
spatio-temporal patterns of air traffic flow in the terminal maneuvering area (TMA) is …