Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Yaguang Li,Rose Yu,C. Shahabi,Yan Liu
2017 · DBLP: conf/iclr/LiYS018
International Conference on Learning Representations · 3,624 citaten
TLDR
Diffusion Convolutional Recurrent Neural Network (DCRNN), a deep learning framework for traffic forecasting that incorporates both spatial and temporal dependency in the traffic flow and evaluates the framework on two real-world large scale road network traffic datasets and observes consistent improvement.