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
• 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
• 2018Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction1,248 cited
• 2019Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction921 cited
• 2013Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning763 cited
• 2017Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach748 cited
• 2013Predicting Taxi–Passenger Demand Using Streaming Data739 cited
• 2017Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting427 cited
• 2017The Simpler The Better275 cited
• 2007Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow207 cited
• 2017DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks205 cited
• 2019Cross-City Transfer Learning for Deep Spatio-Temporal Prediction199 cited
• 2018Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns