Predicting traffic congestion evolution : a deep meta learning approach

• Main Authors: Sun, Yidan, Jiang, Guiyuan, Lam, Siew-Kei, He, Peilan
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering::Computer applications::Social and behavioral sciences; Congestion Evolution Prediction; Meta-Learning
• Online Access: https://hdl.handle.net/10356/153498
• Institution: Nanyang Technological University

Many efforts are devoted to predicting congestion evolution using propagation patterns that are mined from historical traffic data. However, the prediction quality is limited to the intrinsic properties that are present in the mined patterns. In addition, these mined patterns frequently fail to suff...