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Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting
8 references·7 citing·34 second hop
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting (2019)Dynamic Spatial-Temporal Graph Convolutio…Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction (2018)Deep Bidirectional and Unidir…Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Learning Traffic as Images: A…Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Diffusion Convolutional Recur…Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework (2016)Short-term traffic flow forec…DNN-based prediction model for spatio-temporal data (2016)DNN-based prediction model fo…Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm (2014)Forecasting holiday daily tou…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…Spatio-Temporal Meta-Graph Learning for Traffic Forecasting (2023)Spatio-Temporal Meta-Graph Le…Adaptive Spatio-temporal Graph Neural Network for traffic forecasting (2022)Adaptive Spatio-temporal Grap…Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network (2021)Traffic Flow Forecasting with…DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (2021)DL-Traff: Survey and Benchmar…Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems (2020)Variational Graph Neural Netw…How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey (2020)How to Build a Graph-Based De…Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs (2020)Forecasting Trajectory and Be…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Exponential smoothing: The state of the art (1985)Introduction to Time Series and Forecasting (2002)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Trends and random walks in macroeconmic time series (1982)Financial time series forecasting using support vector machines (2003)Tourism demand modelling and forecasting—A review of recent research (2007)A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting (2019)Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series (2019)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Prediction of human emergency behavior and their mobility following large-scale disaster (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Traffic prediction in a bike-sharing system (2015)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Deep learning for short-term traffic flow prediction (2017)Adaptive Multi-Kernel SVM With Spatial–Temporal Correlation for Short-Term Traffic Flow Prediction (2018)Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges (2019)Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction (2020)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values (2020)Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting (2020)A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Urban traffic flow prediction techniques: A review (2022)Graph Neural Network for Traffic Forecasting: The Research Progress (2023)Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)A hybrid deep learning based traffic flow prediction method and its understanding (2018)
this work references cited by second hop

References

  • 2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting3,639 cited
  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction1,442 cited
  • 2016DNN-based prediction model for spatio-temporal data739 cited
  • 2018Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction583 cited
  • 2016Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework339 cited
  • 2014Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm293 cited

Cited by

  • 2023Spatio-Temporal Meta-Graph Learning for Traffic Forecasting358 cited
  • 2020How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey298 cited
  • 2021Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network242 cited
  • 2022Adaptive Spatio-temporal Graph Neural Network for traffic forecasting195 cited
  • 2021DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction194 cited

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

  • 2020Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs192 cited
  • 2020Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems174 cited