Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks.

IEEE Transactions on Intelligent Transportation Systems(2016)

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摘要
Intelligent transportation systems (ITSs) gather information about traffic conditions by collecting data from a wide range of on-ground sensors. The collected data usually suffer from irregular spatial and temporal resolution. Consequently, missing data is a common problem faced by ITSs. In this paper, we consider the problem of missing data in large and diverse road networks. We propose various m...
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关键词
Roads,Tensile stress,Estimation,Principal component analysis,Sensors,Matrix decomposition
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