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 ...

In this paper, we present a spatiotemporal model for traffic flow prediction using a CNN-LSTM architecture. The proposed method integrates multivariate inputs, including position, velocity, and ...