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A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction
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A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)A Hybrid Deep Learning Model With Attenti…GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)GMAN: A Graph Multi-Attention…Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Spatio-Temporal Graph Convolu…A hybrid deep learning based traffic flow prediction method and its understanding (2018)A hybrid deep learning based …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…Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network (2015)Predicting Short-Term Traffic…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…Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Optimized and meta-optimized …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…Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting (1999)Application of Subset Autoreg…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…Short-Term Prediction of Traffic Volume in Urban Arterials (1995)Short-Term Prediction of Traf…Nonparametric Regression and Short‐Term Freeway Traffic Forecasting (1991)Nonparametric Regression and …Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Traffic prediction using arti…Research on the Nonlinear Random Matrix Model for Urban Information Model and Modern Urban Governance (2022)Research on the Nonlinear Ran…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)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)Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)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)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting (2020)Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting (2021)Graph neural network for traffic forecasting: A survey (2022)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)
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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
  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 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
  • 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
  • 2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning1,140 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 2018A hybrid deep learning based traffic flow prediction method and its understanding806 cited
  • 2005Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach618 cited
  • 1995Short-Term Prediction of Traffic Volume in Urban Arterials551 cited
  • 1999Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting

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546 cited
  • 2015Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network540 cited
  • 1991Nonparametric Regression and Short‐Term Freeway Traffic Forecasting526 cited
  • Cited by

    • 2022Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities305 cited
    • 2022Research on the Nonlinear Random Matrix Model for Urban Information Model and Modern Urban Governance2 cited