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Short-term multi-step-ahead sector-based traffic flow prediction based on the attention-enhanced graph convolutional LSTM network (AGC-LSTM)
Accurate sector-based air traffic flow predictions are essential for ensuring the safety and
efficiency of the air traffic management (ATM) system. However, due to the inherent spatial …
efficiency of the air traffic management (ATM) system. However, due to the inherent spatial …
[HTML][HTML] Multi-faceted spatio-temporal network for weather-aware air traffic flow prediction in multi-airport system
CAI Kaiquan, T Shuo, Q Shengsheng, S Zhiqi… - Chinese Journal of …, 2024 - Elsevier
As one of the core modules for air traffic flow management, Air Traffic Flow Prediction (ATFP)
in the Multi-Airport System (MAS) is a prerequisite for demand and capacity balance in the …
in the Multi-Airport System (MAS) is a prerequisite for demand and capacity balance in the …
Predicting the airspace capacity of terminal area under convective weather using machine learning
S Wang, B Yang, R Duan, J Li - Aerospace, 2023 - mdpi.com
Terminal airspace is the convergence area of air traffic flow, which is the bottleneck of air
traffic management. With the rapid growth of air traffic volume, the impact of convective …
traffic management. With the rapid growth of air traffic volume, the impact of convective …
[HTML][HTML] Using reinforcement learning to improve airspace structuring in an urban environment
Current predictions on future drone operations estimate that traffic density orders of
magnitude will be higher than any observed in manned aviation. Such densities redirect the …
magnitude will be higher than any observed in manned aviation. Such densities redirect the …
Modeling sector route segment capacity under convective weather based on machine learning
SJ Wang, YL Li, BT Yang, RR Duan - The Aeronautical Journal, 2025 - cambridge.org
Estimating airspace capacity under convective weather conditions is crucial for ensuring the
efficiency and safety of air traffic operations. Sector route segments, which are essential …
efficiency and safety of air traffic operations. Sector route segments, which are essential …
[PDF][PDF] Using Reinforcement Learning to Improve Airspace Structuring in an Urban Environment. Aerospace 2022, 9, 420
Current predictions on future drone operations estimate that traffic density orders of
magnitude will be higher than any observed in manned aviation. Such densities redirect the …
magnitude will be higher than any observed in manned aviation. Such densities redirect the …