Gatr: a road network traffic violation prediction method based on graph attention network

HIGHLIGHTS

  • who: Yuquan Zhou et al. from the School of Earth Sciences, Zhejiang University, Hangzhou, China have published the research work: GATR: A Road Network Traffic Violation Prediction Method Based on Graph Attention Network, in the Journal: (JOURNAL) of 31/Dec/2020
  • what: Existing methods are regular spatial grids which leads to fuzzy spatial expression and ignores the strong correlation between traffic violations and road network. spatial topological can express the spatiotemporal correlation more accurately and then improve the accuracy of traffic violation Therefore the authors propose (graph attention network road network) model to predict the . . .

     

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