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

0 likes · 10 min read

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

Didi Tech

Jun 1, 2018 · Industry Insights

How Didi’s Driver‑Passenger Co‑Display Transformed Ride‑Hailing Experience

Since its 2016 launch, Didi’s Driver‑Passenger Co‑Display (司乘同显) has evolved into version 2.0, delivering real‑time synchronized navigation, traffic and route data for both riders and drivers, boosting information freshness, reducing calls, and improving ride‑hailing efficiency across multiple service lines.

Ride HailingUser experienceindustry insights

0 likes · 7 min read

How Didi’s Driver‑Passenger Co‑Display Transformed Ride‑Hailing Experience