The existing traffic flow prediction model has limited accuracy under complex road conditions due to its spatiotemporal coupling and nonlinear dynamic characteristics. This study solves the problem of ...

Deep learning methods based on time series prediction are widely applied to solving fluid dynamics problems. However, the application characteristics of Long Short-Term Memory (LSTM) and Gate ...