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

• Main Authors: Zhang, Ying, Xu, Shimin, Zhang, Linghui, Jiang, Weiwei, Alam, Sameer, Xue, Dabin
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Air traffic management; Spatiotemporal dependency
• Online Access: https://hdl.handle.net/10356/180117
• Institution: Nanyang Technological University

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...