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Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling
4 references·16 citing·30 second hop
Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling (2001)Multivariate Vehicular Traffic Flow Predi…Introduction to Time Series and Forecasting (2002)Introduction to Time Series a…Introduction to Time Series and Forecasting (1996)Introduction to Time Series a…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)Dynamic prediction of traffic…Spatio-Temporal Graph Structure Learning for Traffic Forecasting (2020)Spatio-Temporal Graph Structu…A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)A Survey on Modern Deep Neura…Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning (2019)Short-term traffic flow predi…DeepPF: A deep learning based architecture for metro passenger flow prediction (2019)DeepPF: A deep learning based…Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges (2019)Deep learning models for traf…An effective spatial-temporal attention based neural network for traffic flow prediction (2019)An effective spatial-temporal…Traffic flow prediction using LSTM with feature enhancement (2018)Traffic flow prediction using…Survey on traffic prediction in smart cities (2018)Survey on traffic prediction …Adaptive Multi-Kernel SVM With Spatial–Temporal Correlation for Short-Term Traffic Flow Prediction (2018)Adaptive Multi-Kernel SVM Wit…Short-term traffic flow prediction with Conv-LSTM (2017)Short-term traffic flow predi…Efficient missing data imputing for traffic flow by considering temporal and spatial dependence (2013)Efficient missing data imputi…A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model (2013)A hybrid short-term traffic f…Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models (2009)Predictions of Freeway Traffi…An Aggregation Approach to Short-Term Traffic Flow Prediction (2009)An Aggregation Approach to Sh…Space–time modeling of traffic flow (2004)Space–time modeling of traffi…Forecasting Traffic Flow Conditions in an Urban Network: Comparison of Multivariate and Univariate Approaches (2003)Forecasting Traffic Flow Cond…Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Investigating Causal Relations by Econometric Models and Cross-Spectral Methods (2008)Road Traffic Forecasting: Recent Advances and New Challenges (2018)A Survey on Deep Learning for Human Mobility (2021)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Traffic Flow Prediction With Big Data: A Deep Learning Approach (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)Machine Learning-based traffic prediction models for Intelligent Transportation Systems (2020)AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting (2021)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Generalized autoregressive conditional heteroskedasticity (1986)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Analysis of Financial Time Series (2006)Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure (2016)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Forecasting with artificial neural networks: (1998)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)A Review of Traffic Congestion Prediction Using Artificial Intelligence (2021)A literature review of Artificial Intelligence applications in railway systems (2022)Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Short-term traffic flow prediction using seasonal ARIMA model with limited input data (2015)
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References

  • 2002Introduction to Time Series and Forecasting3,934 cited
  • 1984Dynamic prediction of traffic volume through Kalman filtering theory1,115 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 1996Introduction to Time Series and Forecasting595 cited

Cited by

  • 2018Traffic flow prediction using LSTM with feature enhancement451 cited
  • 2019DeepPF: A deep learning based architecture for metro passenger flow prediction431 cited
  • 2020A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges424 cited
  • 2003Forecasting Traffic Flow Conditions in an Urban Network: Comparison of Multivariate and Univariate Approaches391 cited
  • 2019Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning385 cited
  • 2017Short-term traffic flow prediction with Conv-LSTM373 cited
  • 2009Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models363 cited
  • 2009An Aggregation Approach to Short-Term Traffic Flow Prediction338 cited
  • 2018Survey on traffic prediction in smart cities331 cited
  • 2018Adaptive Multi-Kernel SVM With Spatial–Temporal Correlation for Short-Term Traffic Flow Prediction312 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2004Space–time modeling of traffic flow309 cited
  • 2019Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges306 cited
  • 2013Efficient missing data imputing for traffic flow by considering temporal and spatial dependence304 cited
  • 2019An effective spatial-temporal attention based neural network for traffic flow prediction288 cited
  • 2020Spatio-Temporal Graph Structure Learning for Traffic Forecasting275 cited
  • 2013A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model262 cited