Tensor decomposition for spatial-temporal traffic flow prediction with sparse data

• المؤلفون الرئيسيون: Yang, Funing, Liu, Guoliang, Huang, Liping, Chin, Cheng Siong
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Electrical and electronic engineering; Tensor Decomposition; Traffic Flow
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/145688
• المؤسسة: Nanyang Technological University

Urban transport traffic surveillance is of great importance for public traffic control and personal travel path planning. Effective and efficient traffic flow prediction is helpful to optimize these real applications. The main challenge of traffic flow prediction is the data sparsity problem, meanin...