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Artificial intelligence-based traffic flow prediction: a comprehensive review
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Artificial intelligence-based traffic flow prediction: a comprehensive review (2023)Artificial intelligence-based traffic flo…Machine-Learning-Based Disease Diagnosis: A Comprehensive Review (2022)Machine-Learning-Based Diseas…Traffic flow prediction models – A review of deep learning techniques (2021)Traffic flow prediction model…Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks (2020)Citywide Traffic Flow Predict…City-Wide Traffic Congestion Prediction Based on CNN, LSTM and Transpose CNN (2020)City-Wide Traffic Congestion …Traffic speed prediction for urban transportation network: A path based deep learning approach (2019)Traffic speed prediction for …Short-Term Traffic Flow Prediction Method for Urban Road Sections Based on Space–Time Analysis and GRU (2019)Short-Term Traffic Flow Predi…Deep Multi-Scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions (2019)Deep Multi-Scale Convolutiona…Deep and Embedded Learning Approach for Traffic Flow Prediction in Urban Informatics (2019)Deep and Embedded Learning Ap…An Improved Bayesian Combination Model for Short-Term Traffic Prediction With Deep Learning (2019)An Improved Bayesian Combinat…Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction (2018)Deep Bidirectional and Unidir…New Bayesian combination method for short-term traffic flow forecasting (2014)New Bayesian combination meth…Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Short-Term Traffic Flow Forec…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…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)Forecasting with artificial neural networks: (1998)Travel-Time Prediction With Support Vector Regression (2004)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)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)A multivariate state space approach for urban traffic flow modeling and prediction (2003)Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)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)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values (2020)Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting (2020)A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Short-term prediction of lane-level traffic speeds: A fusion deep learning model (2019)Urban Computing (2014)A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing (2021)Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning (2021)Using LSTM and GRU neural network methods for traffic flow prediction (2016)Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM (2023)Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction (2023)Traffic flow prediction using LSTM with feature enhancement (2018)DeepPF: A deep learning based architecture for metro passenger flow prediction (2019)A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)A Comparative Analysis on Suicidal Ideation Detection Using NLP, Machine, and Deep Learning (2022)A scoping review of fair machine learning techniques when using real-world data (2024)Artificial intelligence and journalism: A systematic bibliometric and thematic analysis of global research (2025)
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References

  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 2013Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning763 cited
  • 2022Machine-Learning-Based Disease Diagnosis: A Comprehensive Review601 cited
  • 2018Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction583 cited
  • 1999Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting546 cited
  • 2001Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling468 cited
  • 2020Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks238 cited
  • 2021Traffic flow prediction models – A review of deep learning techniques235 cited
  • 2019Traffic speed prediction for urban transportation network: A path based deep learning approach214 cited
  • 2019Short-Term Traffic Flow Prediction Method for Urban Road Sections Based on Space–Time Analysis and GRU201 cited
  • 2014New Bayesian combination method for short-term traffic flow forecasting190 cited
  • 2020City-Wide Traffic Congestion Prediction Based on CNN, LSTM and Transpose CNN183 cited

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  • 2019Deep and Embedded Learning Approach for Traffic Flow Prediction in Urban Informatics179 cited
  • 2019Deep Multi-Scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions174 cited
  • 2019An Improved Bayesian Combination Model for Short-Term Traffic Prediction With Deep Learning160 cited
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