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Short-term prediction of lane-level traffic speeds: A fusion deep learning model
16 references·1 citing·26 second hop
Short-term prediction of lane-level traffic speeds: A fusion deep learning model (2019)Short-term prediction of lane-level traff…Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction (2018)Deep Bidirectional and Unidir…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…Deep learning for short-term traffic flow prediction (2017)Deep learning for short-term …Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Short-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecastin…Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)Deep Architecture for Traffic…Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Adaptive Kalman filter approa…Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Short-Term Traffic Flow Forec…Statistical methods versus neural networks in transportation research: Differences, similarities and some insights (2010)Statistical methods versus ne…Real-time road traffic prediction with spatio-temporal correlations (2010)Real-time road traffic predic…Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Book Review: Time Series Analysis: Forecasting and Control (1977)Book Review: Time Series Anal…An Improved Bayesian Combination Model for Short-Term Traffic Prediction With Deep Learning (2019)An Improved Bayesian Combinat…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)Using LSTM and GRU neural network methods for traffic flow prediction (2016)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)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)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Travel-Time Prediction With Support Vector Regression (2004)Urban Computing (2014)Combining kohonen maps with arima time series models to forecast traffic flow (1996)Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting (2007)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)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)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Using daily stock returns (1985)Introductory Econometrics for Finance (2008)
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References

  • 1977Book Review: Time Series Analysis: Forecasting and Control19,399 cited
  • 1977Time Series Analysis: Forecasting and Control6,592 cited
  • 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
  • 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
  • 2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning1,140 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
  • 2010Statistical methods versus neural networks in transportation research: Differences, similarities and some insights845 cited
  • 2018A hybrid deep learning based traffic flow prediction method and its understanding806 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 correlations

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674 cited
  • 2014Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification653 cited
  • 2018Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction583 cited
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    • 2019An Improved Bayesian Combination Model for Short-Term Traffic Prediction With Deep Learning160 cited