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Travel-Time Prediction With Support Vector Regression
2 references·16 citing·32 second hopsampled
Travel-Time Prediction With Support Vector Regression (2004)Travel-Time Prediction With Support Vecto…Travel time data collection handbook (2010)Travel time data collection h…Support Vector Machine Regression for Volatile Stock Market Prediction (2002)Support Vector Machine Regres…Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting (2021)Learning Dynamics and Heterog…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 …GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)GMAN: A Graph Multi-Attention…A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)A Hybrid Deep Learning Model …T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)T-GCN: A Temporal Graph Convo…Ridesourcing systems: A framework and review (2019)Ridesourcing systems: A frame…Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach (2018)Predicting station-level hour…Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction (2018)Deep Bidirectional and Unidir…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…Deep learning for short-term traffic flow prediction (2017)Deep learning for short-term …Travel time estimation of a path using sparse trajectories (2014)Travel time estimation of a p…Short-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecastin…Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Short-Term Traffic Flow Forec…Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…Forecasting with artificial neural networks: (1998)GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics (2001)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)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)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Combining kohonen maps with arima time series models to forecast traffic flow (1996)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Urban Computing (2014)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)Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Applications of Artificial Intelligence and Machine learning in smart cities (2020)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting (2021)Graph neural network for traffic forecasting: A survey (2022)Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey (2023)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting (2020)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution (2022)PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction (2023)Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting (2023)Decoupled dynamic spatial-temporal graph neural network for traffic forecasting (2022)
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References

  • 2010Travel time data collection handbook274 cited
  • 2002Support Vector Machine Regression for Volatile Stock Market Prediction215 cited

Cited by

  • 2019T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction3,527 cited
  • 2020GMAN: A Graph Multi-Attention Network for Traffic Prediction1,923 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
  • 2017Deep learning for short-term traffic flow prediction1,060 cited
  • 2008Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions856 cited
  • 2021Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting799 cited
  • 2013Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning763 cited
  • 2020Spatial-Temporal Transformer Networks for Traffic Flow Forecasting606 cited
  • 2018Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction583 cited
  • 2020A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction

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574 cited
  • 2019Ridesourcing systems: A framework and review549 cited
  • 2014Travel time estimation of a path using sparse trajectories538 cited
  • 2020Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values512 cited
  • 2018Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach450 cited