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

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...

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Main Authors: Yang, Funing, Liu, Guoliang, Huang, Liping, Chin, Cheng Siong
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2021
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在線閱讀:https://hdl.handle.net/10356/145688
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