Urban traffic prediction from mobility data using deep learning

• المؤلفون الرئيسيون: Liu, Zhidan, Li, Zhenjiang, Wu, Kaishun, Li, Mo
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Data Models; Predictive Models
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/140307

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...