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Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
10 references·16 citing·23 second hop
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Learning Traffic as Images: A Deep Convol…Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…A Multiplicative Seasonal ARIMA/GARCH Model in EVN Traffic Prediction (2015)A Multiplicative Seasonal ARI…A distributed spatial–temporal weighted model on MapReduce for short-term traffic flow forecasting (2015)A distributed spatial–tempora…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)Deep Architecture for Traffic…Statistical methods versus neural networks in transportation research: Differences, similarities and some insights (2010)Statistical methods versus ne…Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…Travel-Time Prediction With Support Vector Regression (2004)Travel-Time Prediction With S…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction (2021)Exploiting dynamic spatio-tem…A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021)A Survey of Traffic Predictio…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…Spatial-Temporal Transformer Networks for Traffic Flow Forecasting (2020)Spatial-Temporal Transformer …A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)A Survey on Modern Deep Neura…A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)A Hybrid Deep Learning Model …Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Traffic Graph Convolutional R…Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (2019)Spatiotemporal Multi-Graph Co…Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning (2019)Short-term traffic flow predi…Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction (2019)Revisiting Spatial-Temporal S…Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends (2019)Deep Learning for Intelligent…Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Deep Multi-View Spatial-Tempo…Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)Spatiotemporal Recurrent Conv…Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Short-term forecasting of pas…Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Diffusion Convolutional Recur…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)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)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Support Vector Machine Regression for Volatile Stock Market Prediction (2002)Travel time data collection handbook (2010)Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting (2007)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow (2007)OpenStreetMap: User-Generated Street Maps (2008)Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting (2020)Graph neural network for traffic forecasting: A survey (2022)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution (2022)
this work references cited by second hop

References

  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2015Long short-term memory neural network for traffic speed prediction using remote microwave sensor data2,259 cited
  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 2004Travel-Time Prediction With Support Vector Regression1,480 cited
  • 2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning1,140 cited
  • 2008Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions856 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 2010Statistical methods versus neural networks in transportation research: Differences, similarities and some insights845 cited
  • 2015A distributed spatial–temporal weighted model on MapReduce for short-term traffic flow forecasting184 cited
  • 2015A Multiplicative Seasonal ARIMA/GARCH Model in EVN Traffic Prediction50 cited

Cited by

  • 2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting3,639 cited
  • 2018Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction1,248 cited
  • 2019Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting1,020 cited

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

  • 2019Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction921 cited
  • 2019Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting894 cited
  • 2017Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach748 cited
  • 2017Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks623 cited
  • 2020Spatial-Temporal Transformer Networks for Traffic Flow Forecasting606 cited
  • 2020A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction574 cited
  • 2020Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values512 cited
  • 2021Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction449 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
  • 2019Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends416 cited
  • 2021A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation410 cited
  • 2019Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning385 cited