Before revision:  In order to capture the joint spatial-temporal dynamics of the intersections and road segments, we adopt the spatial-temporal learning layer that incorporates the multi-scale  spatial-temporal graph convolution networks and dual graphinteraction networks.
After revision:  In order to capture the joint spatial-temporal dynamics of the intersections and road segments, we adopt the spatio-temporal dual graph learning approach that incorporates multiple spatial-temporal dual graph learning modules with multi-scale spatial-temporal graph convolution networks and dual graphinteraction networks.