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Short-Term Prediction of Traffic Volume in Urban Arterials
3 references·16 citing·35 second hop
Short-Term Prediction of Traffic Volume in Urban Arterials (1995)Short-Term Prediction of Traffic Volume i…Time series analysis forecasting and control (2009)Time series analysis forecast…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Dynamic prediction of traffic…Book Review: Time Series Analysis: Forecasting and Control (1977)Book Review: Time Series Anal…AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting (2021)AST-GCN: Attribute-Augmented …Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction (2020)Temporal Multi-Graph Convolut…Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting (2020)Spatial temporal incidence dy…A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)A Hybrid Deep Learning Model …A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data (2020)A graph CNN-LSTM neural netwo…Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting (2019)Deep Spatial–Temporal 3D Conv…Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges (2019)Deep learning models for traf…Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm (2019)Day-ahead traffic flow foreca…Short-term traffic flow rate forecasting based on identifying similar traffic patterns (2015)Short-term traffic flow rate …A Hidden Markov Model for short term prediction of traffic conditions on freeways (2014)A Hidden Markov Model for sho…Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm (2011)Traffic flow forecasting by s…Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Forecasting the short-term me…Multivariate Short-Term Traffic Flow Forecasting Using Time-Series Analysis (2009)Multivariate Short-Term Traff…Short‐Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition (2007)Short‐Term Traffic Volume For…Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach (2006)Short-Term Freeway Traffic Fl…A multivariate state space approach for urban traffic flow modeling and prediction (2003)A multivariate state space ap…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)Forecasting Traffic Flow Conditions in an Urban Network: Comparison of Multivariate and Univariate Approaches (2003)Road Traffic Forecasting: Recent Advances and New Challenges (2018)Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning (2019)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system (2015)Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression (2017)DeepPF: A deep learning based architecture for metro passenger flow prediction (2019)ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm (2011)A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (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)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning (2021)Hierarchical Spatio–Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting (2023)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks (2021)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Using support vector regression and K-nearest neighbors for short-term traffic flow prediction based on maximal information coefficient (2022)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit (2020)A Review of Traffic Congestion Prediction Using Artificial Intelligence (2021)Nonparametric Regression and Short‐Term Freeway Traffic Forecasting (1991)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Forecasting: theory and practice (2022)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)A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction (2021)Traffic flow prediction models – A review of deep learning techniques (2021)
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References

  • 1977Book Review: Time Series Analysis: Forecasting and Control19,399 cited
  • 2009Time series analysis forecasting and control2,614 cited
  • 1984Dynamic prediction of traffic volume through Kalman filtering theory1,115 cited

Cited by

  • 2020A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction574 cited
  • 2003A multivariate state space approach for urban traffic flow modeling and prediction518 cited
  • 2011Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks475 cited
  • 2019Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting461 cited
  • 2006Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach449 cited
  • 2020A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data389 cited
  • 2020Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting347 cited
  • 2007Short‐Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition324 cited
  • 2019Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges306 cited
  • 2020Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction305 cited
  • 2015

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Short-term traffic flow rate forecasting based on identifying similar traffic patterns
294 cited
  • 2009Multivariate Short-Term Traffic Flow Forecasting Using Time-Series Analysis290 cited
  • 2021AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting281 cited
  • 2011Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm246 cited
  • 2019Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm227 cited
  • 2014A Hidden Markov Model for short term prediction of traffic conditions on freeways224 cited