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

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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書目詳細資料
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
主題:	Engineering::Electrical and electronic engineering Tensor Decomposition Traffic Flow
在線閱讀:	https://hdl.handle.net/10356/145688
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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