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DataFunTalk
DataFunTalk
Oct 11, 2020 · Artificial Intelligence

Spatio‑Temporal Graph Convolution Networks for Traffic Forecasting: Gaode's HSTGCN Approach

The presentation by Gaode senior algorithm expert Ji Chenguang details a hybrid spatio‑temporal graph convolution network (HSTGCN) that predicts future traffic conditions from massive navigation data, dramatically improving congestion forecasting accuracy and enabling proactive traffic dispatch.

AIETA estimationHSTGCN
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Spatio‑Temporal Graph Convolution Networks for Traffic Forecasting: Gaode's HSTGCN Approach