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Spatial-Temporal Transformer Networks for Traffic Flow Forecasting
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Spatial-Temporal Transformer Networks for Traffic Flow Forecasting (2020)Spatial-Temporal Transformer Networks for…Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning (2019)Urban Traffic Prediction from…Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Graph WaveNet for Deep Spatia…Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Spatio-Temporal Graph Convolu…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…Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…New Bayesian combination method for short-term traffic flow forecasting (2014)New Bayesian combination meth…Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Short-Term Traffic Flow Forec…Real-time road traffic prediction with spatio-temporal correlations (2010)Real-time road traffic predic…Travel-Time Prediction With Support Vector Regression (2004)Travel-Time Prediction With S…ARMA Models and the Box-Jenkins Methodology (1997)ARMA Models and the Box-Jenki…Spatio-Temporal Meta-Graph Learning for Traffic Forecasting (2023)Spatio-Temporal Meta-Graph Le…Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting (2023)Spatio-Temporal Adaptive Embe…PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction (2023)PDFormer: Propagation Delay-A…Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution (2022)Dynamic Graph Convolutional R…A multi-head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks (2022)A multi-head attention-based …Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting (2020)Traffic transformer: Capturin…A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)A Survey on Modern Deep Neura…Forecasting with artificial neural networks: (1998)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Aggregation of space-time processes (2003)Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Predicting Taxi–Passenger Demand Using Streaming Data (2013)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Short-term traffic forecasting: Where we are and where we’re going (2014)Using LSTM and GRU neural network methods for traffic flow prediction (2016)LSTM network: a deep learning approach for short‐term traffic forecast (2017)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Support Vector Machine Regression for Volatile Stock Market Prediction (2002)Travel time data collection handbook (2010)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)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)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting (2020)Graph neural network for traffic forecasting: A survey (2022)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
  • 2019Graph WaveNet for Deep Spatial-Temporal Graph Modeling3,706 cited
  • 2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting3,639 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
  • 2004Travel-Time Prediction With Support Vector Regression1,480 cited
  • 2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction1,442 cited
  • 2013Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning763 cited
  • 2010Real-time road traffic prediction with spatio-temporal correlations674 cited
  • 2019Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning621 cited
  • 1997ARMA Models and the Box-Jenkins Methodology416 cited
  • 2014New Bayesian combination method for short-term traffic flow forecasting187 cited

Cited by

  • 2023PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction750 cited
  • 2022Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

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618 cited
  • 2023Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting494 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
  • 2023Spatio-Temporal Meta-Graph Learning for Traffic Forecasting358 cited
  • 2022A multi-head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks334 cited