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Short-term traffic flow prediction with LSTM recurrent neural network
16 references·7 citing·29 second hopsampled
Short-term traffic flow prediction with LSTM recurrent neural network (2017)Short-term traffic flow prediction with L…Using LSTM and GRU neural network methods for traffic flow prediction (2016)Using LSTM and GRU neural net…Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network (2015)Predicting Short-Term Traffic…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…Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm (2011)Neural-Network-Based Models f…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…Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach (2006)Short-Term Freeway Traffic Fl…Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Optimized and meta-optimized …Short‐term traffic forecasting: Overview of objectives and methods (2004)Short‐term traffic forecastin…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…Forecasting Traffic Flow Conditions in an Urban Network: Comparison of Multivariate and Univariate Approaches (2003)Forecasting Traffic Flow Cond…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…Nonparametric Regression and Short‐Term Freeway Traffic Forecasting (1991)Nonparametric Regression and …Traffic Flow Prediction Based on Deep Learning in Internet of Vehicles (2020)Traffic Flow Prediction Based…Congestion prediction for smart sustainable cities using IoT and machine learning approaches (2020)Congestion prediction for sma…Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems (2020)Artificial intelligence-based…A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)A Survey on Modern Deep Neura…A combined method for short-term traffic flow prediction based on recurrent neural network (2020)A combined method for short-t…SDN-based real-time urban traffic analysis in VANET environment (2019)SDN-based real-time urban tra…Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges (2019)Deep learning models for traf…Combining neural network model with seasonal time series ARIMA model (2002)Dynamic Bus Arrival Time Prediction with Artificial Neural Networks (2002)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)LSTM network: a deep learning approach for short‐term traffic forecast (2017)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)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)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)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)Deep learning for short-term traffic flow prediction (2017)Forecasting with artificial neural networks: (1998)Real-time road traffic prediction with spatio-temporal correlations (2010)Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Travel-Time Prediction With Support Vector Regression (2004)Urban Computing (2014)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting (2017)Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)
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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
  • 2016Using LSTM and GRU neural network methods for traffic flow prediction1,593 cited
  • 2014Short-term traffic forecasting: Where we are and where we’re going1,248 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
  • 2005Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach618 cited
  • 2004Short‐term traffic forecasting: Overview of objectives and methods599 cited
  • 1999Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting546 cited
  • 2015Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network540 cited
  • 1991Nonparametric Regression and Short‐Term Freeway Traffic Forecasting526 cited

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2006
Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach
449 cited
  • 2011Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm433 cited
  • 2003Forecasting Traffic Flow Conditions in an Urban Network: Comparison of Multivariate and Univariate Approaches391 cited
  • Cited by

    • 2020A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges424 cited
    • 2019Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges306 cited
    • 2020Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems241 cited
    • 2020Congestion prediction for smart sustainable cities using IoT and machine learning approaches192 cited
    • 2020A combined method for short-term traffic flow prediction based on recurrent neural network188 cited
    • 2019SDN-based real-time urban traffic analysis in VANET environment172 cited
    • 2020Traffic Flow Prediction Based on Deep Learning in Internet of Vehicles163 cited