Fine-Grained Urban Flow Inference

IEEE Transactions on Knowledge and Data Engineering, pp. 1-1, 2020.

Cited by: 3|Bibtex|Views71|DOI:https://doi.org/10.1109/TKDE.2020.3017104
Other Links: arxiv.org|academic.microsoft.com

Abstract:

The ubiquitous deployment of monitoring devices in urban flow monitoring systems induces a significant cost for maintenance and operation. A technique is required to reduce the number of deployed devices, while preventing the degeneration of data accuracy and granularity. In this paper, we present an approach for inferring the real-time...More

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