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Traffic flow prediction using LSTM with feature enhancement
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Traffic flow prediction using LSTM with feature enhancement (2018)Traffic flow prediction using LSTM with f…A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)A Dual-Stage Attention-Based …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 …Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)Deep Architecture for Traffic…Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling (2001)Multivariate Vehicular Traffi…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 models – A review of deep learning techniques (2021)Traffic flow prediction model…Machine Learning-based traffic prediction models for Intelligent Transportation Systems (2020)Machine Learning-based traffi…Congestion prediction for smart sustainable cities using IoT and machine learning approaches (2020)Congestion prediction for sma…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)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)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Travel-Time Prediction With Support Vector Regression (2004)Urban Computing (2014)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Book Review: Time Series Analysis: Forecasting and Control (1977)A multivariate state space approach for urban traffic flow modeling and prediction (2003)Time series analysis forecasting and control (2009)A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)Time Series Analysis: Forecasting and Control (1977)Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting (2007)Distributed Representations, Simple Recurrent Networks, and Grammatical Structure (1991)Dynamic Covariance Models for Multivariate Financial Time Series (2013)ARIMA Models and the Box-Jenkins Methodology (2016)A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting (2019)N-BEATS: Neural basis expansion analysis for interpretable time series forecasting (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Smart Cities: A Survey on Data Management, Security, and Enabling Technologies (2017)Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method (2021)
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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
  • 2017A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction1,700 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
  • 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
  • 2001Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling468 cited

Cited by

  • 2020Machine Learning-based traffic prediction models for Intelligent Transportation Systems350 cited
  • 2021Traffic flow prediction models – A review of deep learning techniques235 cited

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  • 2020Congestion prediction for smart sustainable cities using IoT and machine learning approaches192 cited