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Spatio-Temporal Graph Structure Learning for Traffic Forecasting
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Spatio-Temporal Graph Structure Learning for Traffic Forecasting (2020)Spatio-Temporal Graph Structure Learning …Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction (2019)Revisiting Spatial-Temporal S…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…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: A Generic Approach for Extreme Condition Traffic Forecasting (2017)Deep Learning: A Generic Appr…Improving Traffic Flow Prediction With Weather Information in Connected Cars: A Deep Learning Approach (2016)Improving Traffic Flow Predic…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Big data and its technical challenges (2014)Big data and its technical ch…A Bayesian Network Approach to Traffic Flow Forecasting (2006)A Bayesian Network Approach t…Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling (2001)Multivariate Vehicular Traffi…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…Nonparametric Regression and Short‐Term Freeway Traffic Forecasting (1991)Nonparametric Regression and …ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)ANALYSIS OF FREEWAY TRAFFIC T…Urban traffic flow prediction techniques: A review (2022)Urban traffic flow prediction…DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (2021)DL-Traff: Survey and Benchmar…Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction (2020)Physical-Virtual Collaboratio…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)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)LSTM network: a deep learning approach for short‐term traffic forecast (2017)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Understanding individual human mobility patterns (2008)Big data: The next frontier for innovation, competition, and productivity (2011)The Filter Bubble: What the Internet Is Hiding from You (2011)Big Data and cloud computing: innovation opportunities and challenges (2016)Debating big data: A literature review on realizing value from big data (2017)Machine Learning With Big Data: Challenges and Approaches (2017)Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach (2009)Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction (2021)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)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)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)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)Exponential Smoothing with an Adaptive Response Rate (1967)The Development of a Self-Adaptive Forecasting Technique (1969)Applied Time Series Analysis for Managerial Forecasting. (1974)Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting (1999)Short‐term traffic forecasting: Overview of objectives and methods (2004)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand 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
  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 2014Big data and its technical challenges1,066 cited
  • 2019Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction921 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 2006A Bayesian Network Approach to Traffic Flow Forecasting803 cited
  • 1979ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES767 cited
  • 1991Nonparametric Regression and Short‐Term Freeway Traffic Forecasting526 cited
  • 2001Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling468 cited
  • 2017Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting427 cited
  • 2016Improving Traffic Flow Prediction With Weather Information in Connected Cars: A Deep Learning Approach376 cited

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Cited by

  • 2022Urban traffic flow prediction techniques: A review238 cited
  • 2020Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction199 cited
  • 2021DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction194 cited