Local Gaussian processes for efficient fine-grained traffic speed prediction

Local Gaussian processes for efficient fine-grained traffic speed prediction

Traffic speed is a key indicator for the efficiency of an urban transportation system. Accurate modeling of the spatiotemporally varying traffic speed thus plays a crucial role in urban planning and development. This paper addresses the problem of efficient fine-grained traffic speed prediction usin...

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書目詳細資料
Main Authors:	LE, Truc Viet, OENTARYO, Richard, LIU, Siyuan, LAU, Hoong Chuin
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2017
主題:	Gaussian process matrix factorization spatiotemporal clustering traffic speed urban computing Artificial Intelligence and Robotics Computer Sciences Theory and Algorithms
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/3862 https://ink.library.smu.edu.sg/context/sis_research/article/4864/viewcontent/Local_Gaussian_Traffic_2017_afv.pdf
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