Short-term multi-step-ahead sector-based traffic flow prediction based on the attention-enhanced graph convolutional LSTM network (AGC-LSTM)

• المؤلفون الرئيسيون: Zhang, Ying, Xu, Shimin, Zhang, Linghui, Jiang, Weiwei, Alam, Sameer, Xue, Dabin
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering; Air traffic management; Spatiotemporal dependency
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/180117

Accurate sector-based air traffic flow predictions are essential for ensuring the safety and efficiency of the air traffic management (ATM) system. However, due to the inherent spatial and temporal dependencies of air traffic flow, it is still a challenging problem. To solve this problem, some metho...