Assessment and analysis of accents in air traffic control speech: a fusion of deep learning and information theory [PDF]
Frontiers in NeuroroboticsIntroductionEnhancing the generalization and reliability of speech recognition models in the field of air traffic control (ATC) is a challenging task. This is due to the limited storage, difficulty in acquisition, and high labeling costs of ATC speech ...
Weijun Pan +4 more
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Improved F-RRT∗ Algorithm for Flight-Path Optimization in Hazardous Weather
International Journal of Aerospace Engineering, 2022 Hazardous weather has become a major cause of flight delays in recent years. With the development of satellite navigation systems, the study of flight-path optimization under hazardous weather conditions has become especially important.
Xue Qiu +6 more
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Intelligent Management of Air Traffic Flow Based on Intelligent Motion Coordinate Data Model
Journal of Advanced Transportation, 2022 To adapt to the intelligent management of traffic flow in modern aviation, this study improves the algorithm according to the data exercise method and establishes the mathematical model and vector model of intelligent motion coordinates.
Junhao Liu +9 more
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Journal of Advanced Transportation, 2022 To ensure the safety of aircraft operation, the current regional passenger aircraft maintains a large distance from the preceding aircraft in actual operation, which result in reducing the operation efficiency of airports and airspace, and increasing ...
Weijun Pan +4 more
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Research on automatic pilot repetition generation method based on deep reinforcement learning
Frontiers in Neurorobotics, 2023 Using computers to replace pilot seats in air traffic control (ATC) simulators is an effective way to improve controller training efficiency and reduce training costs.
Weijun Pan +4 more
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A Joint Optimization Method for Cooperative Detection Resources Based on Channel Capacity
International Journal of Aerospace Engineering, 2022 Aiming at the resource optimization problem in the cooperative detection task, the objective function is constructed based on the channel capacity, and the artificial bee colony (ABC) algorithm is improved to realize the joint optimization of the UAV ...
Wenda Yang +3 more
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Research on airspace sector optimization based on Voronoi diagram and improved K-means algorithm
Xibei Gongye Daxue Xuebao, 2023 Sector partition is an important task of air traffic control, and a reasonable sector partition can improve the utilization rate of airspace and protect the flight safety of aircrafts.
LIN Fugen +3 more
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Conflict Resolution Strategy Based on Flight Conflict Network Optimal Dominating Set
International Journal of Aerospace Engineering, 2022 Aiming at the problem that the air traffic flow is increasing year by year and the flight conflicts are difficult to be deployed, we take aircraft as the node and established a flight conflict network based on the flight conflict relationship between ...
Minggong Wu +4 more
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A hierarchical reinforcement learning method for missile evasion and guidance
Scientific Reports, 2022 This paper proposes an algorithm for missile manoeuvring based on a hierarchical proximal policy optimization (PPO) reinforcement learning algorithm, which enables a missile to guide to a target and evade an interceptor at the same time.
Mengda Yan +4 more
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Invulnerability Analysis and Optimization Strategy of Sector Network Using Cascading Failure Model
Complexity, 2022 Resolving the challenge of flight delays caused by air traffic congestion renders it necessary to explore the mode of congestion propagation. By applying complex network theory, this article establishes a complex network structure where airspace sectors ...
Haijun Liang, Jingyu Lu, Nan Chen
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