Spatiotemporal multi-graph convolutional networks with synthetic data for traffic volume forecasting

•A novel deep learning model is proposed for traffic volume forecasting.•Synthetic data is used to capture implicit variation patterns of traffic volume.•A new spatiotemporal dependencies generative adversarial network is proposed.•A new spatiotemporal multi-graph convolutional network is proposed.•Experimental results verify the superior performance of the proposed model.