Multi-fold correlation attention network for predicting traffic speeds with heterogeneous frequency

• Main Authors: Sun, Yidan, Jiang, Guiyuan, Lam, Siew-Kei, He, Peilan, Ning, Fangxin
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Multi-Fold Spatial Correlation; Multi-Fold Temporal Correlation
• Online Access: https://hdl.handle.net/10356/162998
• Institution: Nanyang Technological University

Short-term traffic prediction (e.g., less than 15 min) is challenging due to severe fluctuations of traffic data caused by dynamic traffic conditions and uncertainties (e.g., in data acquisition, driver behaviors, etc.). Substantial efforts have been undertaken to incorporate spatiotemporal correlat...