Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

no code implementations • 7 May 2017 • Haiyang Yu, Zhihai Wu, Shuqin Wang, Yunpeng Wang, Xiaolei Ma

Inspired by the domain knowledge of motion prediction, in which the future motion of an object can be predicted based on previous scenes, we propose a network grid representation method that can retain the fine-scale structure of a transportation network.

motion prediction Traffic Prediction