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

• Main Authors: Yang, Funing, Liu, Guoliang, Huang, Liping, Chin, Cheng Siong
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Electrical and electronic engineering; Tensor Decomposition; Traffic Flow
• Online Access: https://hdl.handle.net/10356/145688
• Institution: 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...