Urban traffic prediction from mobility data using deep learning

• Main Authors: Liu, Zhidan, Li, Zhenjiang, Wu, Kaishun, Li, Mo
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Data Models; Predictive Models
• Online Access: https://hdl.handle.net/10356/140307
• Institution: Nanyang Technological University

Traffic information is of great importance for urban cities, and accurate prediction of urban traffics has been pursued for many years. Urban traffic prediction aims to exploit sophisticated models to capture hidden traffic characteristics from substantial historical mobility data and then makes use...