Airport Cluster Delay Prediction Based on TS-BiLSTM-Attention
MDPI | Air Traffic and Airspace Control and Management
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6M ago
16 pages, 2837 KiB   Airport Cluster Delay Prediction Based on TS-BiLSTM-Attention - 22 Jun 2023 To conduct an accurate and reliable airport delay prediction will provide an important basis for the macro control of an airspace delay situation and the dynamic allocation of airspace system capacity balance. Accordingly, a method of delay prediction for target airports based on To conduct an accurate and reliable airport delay prediction will provide an important basis for the macro control of an airspace delay situation and the dynamic allocation of airspace system capacity balance. Accordi ..read more
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Quantifying Specific Operation Airborne Collision Risk through Monte Carlo Simulation
MDPI | Air Traffic and Airspace Control and Management
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6M ago
14 pages, 1723 KiB   Quantifying Specific Operation Airborne Collision Risk through Monte Carlo Simulation - 29 Jun 2023 Integration of Uncrewed Aircraft into unsegregated airspace requires robust and objective risk assessment in order to prevent exposure of existing airspace users to additional risk. A probabilistic Mid-Air Collision risk model is developed based on surveillance traffic data for the intended operational area. Integration of Uncrewed Aircraft into unsegregated airspace requires robust and objective risk assessment in order to prevent exposure of existing airspace users to ..read more
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Cognitive Load Assessment of Air Traffic Controller Based on SCNN-TransE Network Using Speech Data
MDPI | Air Traffic and Airspace Control and Management
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6M ago
20 pages, 1292 KiB   Cognitive Load Assessment of Air Traffic Controller Based on SCNN-TransE Network Using Speech Data - 23 Jun 2023 Due to increased air traffic flow, air traffic controllers (ATCs) operate in a state of high load or even overload for long periods of time, which can seriously affect the reliability and efficiency of controllers’ commands. Thus, the early identification of ATCs who Due to increased air traffic flow, air traffic controllers (ATCs) operate in a state of high load or even overload for long periods of time, which can seriously affect the reliability and effic ..read more
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A Data-Light and Trajectory-Based Machine Learning Approach for the Online Prediction of Flight Time of Arrival
MDPI | Air Traffic and Airspace Control and Management
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6M ago
33 pages, 5783 KiB   A Data-Light and Trajectory-Based Machine Learning Approach for the Online Prediction of Flight Time of Arrival - 28 Jul 2023 The ability to accurately predict flight time of arrival in real time during a flight is critical to the efficiency and reliability of aviation system operations. This paper proposes a data-light and trajectory-based machine learning approach for the online prediction of estimated time The ability to accurately predict flight time of arrival in real time during a flight is critical to the efficiency and reliability of aviation system operations ..read more
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TCFLTformer: TextCNN-Flat-Lattice Transformer for Entity Recognition of Air Traffic Management Cyber Threat Knowledge Graphs
MDPI | Air Traffic and Airspace Control and Management
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6M ago
24 pages, 4064 KiB   TCFLTformer: TextCNN-Flat-Lattice Transformer for Entity Recognition of Air Traffic Management Cyber Threat Knowledge Graphs - 07 Aug 2023 With the development of the air traffic management system (ATM), the cyber threat for ATM is becoming more and more serious. The recognition of ATM cyber threat entities is an important task, which can help ATM security experts quickly and accurately recognize threat With the development of the air traffic management system (ATM), the cyber threat for ATM is becoming more and more serious. The recognition of ATM cyber threat entiti ..read more
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Adaptive IMM-UKF for Airborne Tracking
MDPI | Air Traffic and Airspace Control and Management
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6M ago
18 pages, 989 KiB   - 07 Aug 2023 In this paper, we propose a nonlinear tracking solution for maneuvering aerial targets based on an adaptive interacting multiple model (IMM) framework and unscented Kalman filters (UKFs), termed as AIMM-UKF. The purpose is to obtain more accurate estimates, better consistency of the tracker, In this paper, we propose a nonlinear tracking solution for maneuvering aerial targets based on an adaptive interacting multiple model (IMM) framework and unscented Kalman filters (UKFs), termed as AIMM-UKF. The purpose is to obtain more accurate estimates, better con ..read more
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Air Channel Planning Based on Improved Deep Q-Learning and Artificial Potential Fields
MDPI | Air Traffic and Airspace Control and Management
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6M ago
13 pages, 2978 KiB   Air Channel Planning Based on Improved Deep Q-Learning and Artificial Potential Fields - 27 Aug 2023 With the rapid advancement of unmanned aerial vehicle (UAV) technology, the widespread utilization of UAVs poses significant challenges to urban low-altitude safety and airspace management. In the coming future, the quantity of drones is expected to experience a substantial surge. Effectively regulating the With the rapid advancement of unmanned aerial vehicle (UAV) technology, the widespread utilization of UAVs poses significant challenges to urban low-altitude safety ..read more
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A Methodology for Assessing Capacity of the Terminal Maneuvering Area Based on Service Resource Equilibrium
MDPI | Air Traffic and Airspace Control and Management
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6M ago
16 pages, 471 KiB   A Methodology for Assessing Capacity of the Terminal Maneuvering Area Based on Service Resource Equilibrium - 19 Oct 2023 To effectively estimate and optimize the airport terminal maneuvering area throughput based on the equilibrium of air traffic service resource supply and demand, this research proposes an approach to assess terminal maneuvering area capacity from the perspective of air traffic service resource availability. To effectively estimate and optimize the airport terminal maneuvering area throughput based on the equilibrium of air traffic service resource s ..read more
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