Learning traffic network embeddings for predicting congestion propagation

• Main Authors: Sun, Yidan, Jiang, Guiyuan, Lam, Siew-Kei, He, Peilan
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering::Computer applications::Social and behavioral sciences; Congestion Propagation; Network Embedding; Propagation Model
• Online Access: https://hdl.handle.net/10356/153860
• Institution: Nanyang Technological University

Traffic congestion has become a global concern due to continuous increase in traffic demand and limited road capacity. The ability to predict traffic congestion propagation, which depicts the spatiotemporal evolution of the congestion scenario, is essential for developing smart traffic management sy...