Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction

10 references·16 citing·18 second hopsampled

FromToDepth

this work references cited by second hop· second hop is a sample of the most-cited connections

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
2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction1,442 cited
2018Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction1,248 cited
2007Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow209 cited
2017DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks206 cited
2016Latent Space Model for Road Networks to Predict Time-Varying Traffic179 cited
2018Predicting Multi-step Citywide Passenger Demands Using Attention-based Neural Networks156 cited
2018Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns150 cited

Cited by

2019Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting3,248 cited
2020GMAN: A Graph Multi-Attention Network for Traffic Prediction1,923 cited
2019Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting894 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2021

Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting

799 cited

2022Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions690 cited

2020Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting417 cited

2021A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation410 cited

2023Graph Neural Networks for Intelligent Transportation Systems: A Survey397 cited

2021A Survey on Deep Learning for Human Mobility360 cited

2020Machine Learning-based traffic prediction models for Intelligent Transportation Systems350 cited

2023Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction319 cited

2019STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting314 cited

2021Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting314 cited

2020Urban flow prediction from spatiotemporal data using machine learning: A survey311 cited

2022Using support vector regression and K-nearest neighbors for short-term traffic flow prediction based on maximal information coefficient296 cited

2021Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues293 cited