Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

9 Jan 2020Mingxing XuWenrui DaiChunmiao LiuXing GaoWeiyao LinGuo-Jun QiHongkai Xiong

Traffic forecasting has emerged as a core component of intelligent transportation systems. However, timely accurate traffic forecasting, especially long-term forecasting, still remains an open challenge due to the highly nonlinear and dynamic spatial-temporal dependencies of traffic flows... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper