Accurate vehicle speed prediction is of great significance to the urban traffic intelligent control system. However, in terms prediction, modules that integrate temporal and spatial features existing methods are effective short-term but medium-term or long-term errors relatively large. In order reduce predict speed, this paper proposes a method combines attention Spatial–temporal features, refe...