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Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
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Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Traffic Graph Convolutional Recurrent Neu…Forecasting Transportation Network Speed Using Deep Capsule Networks With Nested LSTM Models (2020)Forecasting Transportation Ne…Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (2019)Spatiotemporal Multi-Graph Co…Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Spatio-Temporal Graph Convolu…LSTM network: a deep learning approach for short‐term traffic forecast (2017)LSTM network: a deep learning…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…Deep learning for short-term traffic flow prediction (2017)Deep learning for short-term …Discovering time-dependent shortest path on traffic graph for drivers towards green driving (2016)Discovering time-dependent sh…Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Short-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecastin…Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)Deep Architecture for Traffic…An Exact Graph Structure for Dynamic Traffic Assignment: Formulation, Properties, and Computational Experience (2007)An Exact Graph Structure for …Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)Graph Neural Networks for Int…Graph neural network for traffic forecasting: A survey (2022)Graph neural network for traf…Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution (2022)Dynamic Graph Convolutional R…Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Deep Learning on Traffic Pred…Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues (2021)Spatial-temporal graph neural…AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting (2021)AST-GCN: Attribute-Augmented …A Short-Term Traffic Flow Prediction Model Based on an Improved Gate Recurrent Unit Neural Network (2021)A Short-Term Traffic Flow Pre…Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting (2020)Traffic transformer: Capturin…Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values (2020)Stacked bidirectional and uni…How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey (2020)How to Build a Graph-Based De…Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit (2020)Deep Learning Architecture fo…A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)A Survey on Modern Deep Neura…A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data (2020)A graph CNN-LSTM neural netwo…Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies (2019)Multistep speed prediction on…An effective spatial-temporal attention based neural network for traffic flow prediction (2019)An effective spatial-temporal…A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources (2019)A deep learning approach to r…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Using LSTM and GRU neural network methods for traffic flow prediction (2016)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)Statistical and Econometric Methods for Transportation Data Analysis (2003)Combining kohonen maps with arima time series models to forecast traffic flow (1996)Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting (2007)Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)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)Travel-Time Prediction With Support Vector Regression (2004)Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)Applications of Artificial Intelligence and Machine learning in smart cities (2020)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)A Survey on Deep Learning for Human Mobility (2021)Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey (2023)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction (2019)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)
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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
  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 2015Long short-term memory neural network for traffic speed prediction using remote microwave sensor data2,259 cited
  • 2017LSTM network: a deep learning approach for short‐term traffic forecast1,899 cited
  • 2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction1,442 cited
  • 2014Short-term traffic forecasting: Where we are and where we’re going1,248 cited
  • 2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning1,140 cited
  • 2017Deep learning for short-term traffic flow prediction1,060 cited
  • 2019Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting894 cited
  • 2020Forecasting Transportation Network Speed Using Deep Capsule Networks With Nested LSTM Models152 cited
  • 2016Discovering time-dependent shortest path on traffic graph for drivers towards green driving62 cited
  • 2007An Exact Graph Structure for Dynamic Traffic Assignment: Formulation, Properties, and Computational Experience

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Cited by

  • 2022Graph neural network for traffic forecasting: A survey1,484 cited
  • 2022Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions690 cited
  • 2022Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution618 cited
  • 2020Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values512 cited
  • 2020A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges424 cited
  • 2020Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting417 cited
  • 2023Graph Neural Networks for Intelligent Transportation Systems: A Survey397 cited
  • 2020A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data389 cited
  • 2020How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey298 cited
  • 2019Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies297 cited
  • 2021Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues293 cited
  • 2019An effective spatial-temporal attention based neural network for traffic flow prediction288 cited
  • 2021AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting281 cited
  • 2020Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit275 cited
  • 2021A Short-Term Traffic Flow Prediction Model Based on an Improved Gate Recurrent Unit Neural Network273 cited
  • 2019A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources261 cited