A Multi-Head Self-Attention Transformer-Based Model for Traffic Situation Prediction in Terminal Areas
Terminal operations management is an important part of air traffic management. Accurately detecting and predicting the operational status of the terminal area can help formulate more appropriate and efficient management methods. To achieve more accurate results in predicting the traffic situation, a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10044658/ |