References

• 2018Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting6,048 cited
• 2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting3,639 cited
• 2019Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting3,248 cited
• 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
• 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
• 2004Travel-Time Prediction With Support Vector Regression1,480 cited
• 2014Short-term traffic forecasting: Where we are and where we’re going1,248 cited
• 2002Comparison of parametric and nonparametric models for traffic flow forecasting1,016 cited
• 1979ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES767 cited
• 2017Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks623 cited
• 2015A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting471 cited
• 2005Accurate freeway travel time prediction with state-space neural networks under missing data448 cited
• 1998DynaMIT: a simulation-based system for traffic prediction203 cited
• 2012Arterial travel time forecast with streaming data: A hybrid approach of flow modeling and machine learning