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

Toon Bogaerts,A. Masegosa,2 Authors,P. Hellinckx

2020 · DOI: 10.1016/j.trc.2020.01.010
309 Citations

TLDR

A deep neural network is proposed that simultaneously extracts the spatial features of traffic, using graph convolution, and its temporal features by means of Long Short Term Memory (LSTM) cells to make both short-term and long-term predictions.