Integrating spoken instructions into flight trajectory prediction to optimize automation in air traffic control. [PDF]
Nat Commun, 2023 The booming air transportation industry inevitably burdens air traffic controllers’ workload, causing unexpected human factor-related incidents. Current air traffic control systems fail to consider spoken instructions for traffic prediction, bringing ...
Guo D +5 more
europepmc +3 more sources
ICA-Derived EEG Correlates to Mental Fatigue, Effort, and Workload in a Realistically Simulated Air Traffic Control Task. [PDF]
Front Neurosci, 2017 Electroencephalograph (EEG) has been increasingly studied to identify distinct mental factors when persons perform cognitively demanding tasks. However, most of these studies examined EEG correlates at channel domain, which suffers the limitation that ...
Dasari D, Shou G, Ding L.
europepmc +2 more sources
Characterization of Visual Scanning Patterns in Air Traffic Control. [PDF]
Comput Intell Neurosci, 2016 Characterization of air traffic controllers' (ATCs') visual scanning strategies is a challenging issue due to the dynamic movement of multiple aircraft and increasing complexity of scanpaths (order of eye fixations and saccades) over time.
McClung SN, Kang Z.
europepmc +2 more sources
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
doaj +2 more sources
Enhancing Air Traffic Control Communication Systems with Integrated Automatic Speech Recognition: Models, Applications and Performance Evaluation. [PDF]
Sensors (Basel)Wang Z +6 more
europepmc +3 more sources
Review of Deep Reinforcement Learning Approaches for Conflict Resolution in Air Traffic Control
Aerospace, 2022 Deep reinforcement learning (DRL) has been widely adopted recently for its ability to solve decision-making problems that were previously out of reach due to a combination of nonlinear and high dimensionality.
Zhuang Wang +4 more
semanticscholar +1 more source
Spoken Instruction Understanding in Air Traffic Control: Challenge, Technique, and Application
Aerospace, 2021 In air traffic control (ATC), speech communication with radio transmission is the primary way to exchange information between the controller and aircrew.
Yi Lin
semanticscholar +1 more source
Automatic Speech Recognition for Air Traffic Control Communications
Transportation Research Record, 2021 A significant fraction of communications between air traffic controllers and pilots is through speech, via radio channels. Automatic transcription of air traffic control (ATC) communications has the potential to improve system safety, operational ...
S. Badrinath, H. Balakrishnan
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source