Fine-Grained Urban Flow Inference

IEEE Transactions on Knowledge and Data Engineering(2022)

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摘要
Spatially fine-grained urban flow data is critical for smart city efforts. Though fine-grained information is desirable for applications, it demands much more resources for the underlying storage system compared to coarse-grained data. To bridge the gap between storage efficiency and data utility, in this paper, we aim to infer fine-grained flows throughout a city from their coarse-grained counter...
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关键词
Feature extraction,Task analysis,Spatial resolution,Layout,Correlation,Smart cities,Semantics
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