A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data

Traffic forecasting is an important research area in Intelligent Transportation Systems that is focused on anticipating traffic in order to mitigate congestion. In this work we propose a deep neural network that simultaneously extracts the spatial features of traffic, using graph convolution, and it... View More