TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting

Xu Chen
Xu Chen
Yuanxing Zhang
Yuanxing Zhang
Lun Du
Lun Du
Zheng Fang
Zheng Fang
Yi Ren
Yi Ren

ICDM, pp. 954-959, 2020.

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Abstract:

Traffic flow forecasting is of great significance for improving the efficiency of transportation systems and preventing emergencies. Due to the highly non-linearity and intricate evolutionary patterns of short-term and long-term traffic flow, existing methods often fail to take full advantage of spatial-temporal information, especially ...More

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