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 …
capacity and demand is significantly prominent around the world. Air traffic flow …
Machine learning aided air traffic flow analysis based on aviation big data
Timely and efficient air traffic flow management (ATFM) is a key issue in future dense air
traffic. The emerging demands for unmanned aerial vehicles and general aviation aircraft …
traffic. The emerging demands for unmanned aerial vehicles and general aviation aircraft …
Cooperative co-evolution for large-scale multi-objective air traffic flow management
Air traffic flow management (ATFM) is the key driver of efficient aviation. It aims at balancing
traffic demand against airspace capacity by scheduling aircraft, which is critical for air …
traffic demand against airspace capacity by scheduling aircraft, which is critical for air …
A knee-guided evolutionary algorithm for multi-objective air traffic flow management
Air traffic flow management plays a crucial role in efficient aviation. Most existing studies
assume the flight speed as constant throughout the trip, leading to ineffective fixed-speed …
assume the flight speed as constant throughout the trip, leading to ineffective fixed-speed …
[HTML][HTML] A spatial–temporal network perspective for the propagation dynamics of air traffic delays
Intractable delays occur in air traffic due to the imbalance between ever-increasing air traffic
demand and limited airspace capacity. As air traffic is associated with complex air transport …
demand and limited airspace capacity. As air traffic is associated with complex air transport …
Construction of intelligent traffic information recommendation system based on long short-term memory
F Kong, J Li, Z Lv - Journal of computational science, 2018 - Elsevier
Traffic information service can improve road utilization and reduce traffic congestion and
accidents. In this paper, we design the intelligent traffic information recommendation system …
accidents. In this paper, we design the intelligent traffic information recommendation system …
A n − D ant colony optimization with fuzzy logic for air traffic flow management
C Ntakolia, DV Lyridis - Operational Research, 2022 - Springer
Recent studies show that the number of flights is expected to be increased significantly by
2030, leading to air traffic capacity and congestion issues in the air sectors. This challenging …
2030, leading to air traffic capacity and congestion issues in the air sectors. This challenging …
A review on air traffic flow management optimization: trends, challenges, and future directions
V Aditya, DS Aswin, SV Dhaneesh, S Chakravarthy… - Discover …, 2024 - Springer
Abstract Air Traffic Flow Management (ATFM) is the backbone of modern aviation and
ensures that aircraft move safely and efficiently through increasingly congested skies. As …
ensures that aircraft move safely and efficiently through increasingly congested skies. As …
Strategic conflict management using recurrent multi-agent reinforcement learning for urban air mobility operations considering uncertainties
The rapidly evolving urban air mobility (UAM) develops the heavy demand for public air
transport tasks and poses great challenges to safe and efficient operation in low-altitude …
transport tasks and poses great challenges to safe and efficient operation in low-altitude …
Uncertainty-aware flight scheduling for airport throughput and flight delay optimization
The continuous growth in the demand for air transportation exceeds the capacity of existing
infrastructure, usually leading to unreliable flight schedules, ie, long flight delays and …
infrastructure, usually leading to unreliable flight schedules, ie, long flight delays and …