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Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning
15 references·16 citing·35 second hop
Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Short-Term Traffic Flow Forecasting: An E…Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting (2007)Bayesian Time-Series Model fo…Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow (2007)Adaptive Seasonal Time Series…A Bayesian Network Approach to Traffic Flow Forecasting (2006)A Bayesian Network Approach t…Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Optimized and meta-optimized …Travel-Time Prediction With Support Vector Regression (2004)Travel-Time Prediction With S…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Comparison of parametric and …GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics (2001)GARCH 101: The Use of ARCH/GA…Out-of-sample tests of forecasting accuracy: an analysis and review (2000)Out-of-sample tests of foreca…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)Traffic Flow Forecasting: Com…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…Innocents in the Forest: Forecasting and Research Methods (1990)Innocents in the Forest: Fore…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Dynamic prediction of traffic…Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Traffic prediction using arti…Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Deep Learning on Traffic Pred…Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction (2021)Exploiting dynamic spatio-tem…Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks (2021)Exploiting dynamic spatio-tem…Urban flow prediction from spatiotemporal data using machine learning: A survey (2020)Urban flow prediction from sp…Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Traffic Flow Prediction via S…Spatial-Temporal Transformer Networks for Traffic Flow Forecasting (2020)Spatial-Temporal Transformer …Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting (2020)Multi-Range Attentive Bicompo…Machine Learning-based traffic prediction models for Intelligent Transportation Systems (2020)Machine Learning-based traffi…Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis (2020)Big data algorithms and appli…Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies (2019)Multistep speed prediction on…Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges (2019)Deep learning models for traf…Deep learning methods in transportation domain: a review (2018)Deep learning methods in tran…A hybrid deep learning based traffic flow prediction method and its understanding (2018)A hybrid deep learning based …Short-term traffic flow rate forecasting based on identifying similar traffic patterns (2015)Short-term traffic flow rate …Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Adaptive Kalman filter approa…Book Review: Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Financial time series forecasting using support vector machines (2003)Time series forecasting using a hybrid ARIMA and neural network model (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)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)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)The M3-Competition: results, conclusions and implications (2000)25 years of time series forecasting (2006)On the use of cross-validation for time series predictor evaluation (2012)Forecasting at Scale (2017)Support Vector Machine Regression for Volatile Stock Market Prediction (2002)Travel time data collection handbook (2010)LSTM network: a deep learning approach for short‐term traffic forecast (2017)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)New frontiers for arch models (2002)Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)Systemic Risk Measurement: Multivariate GARCH Estimation of CoVaR (2012)Time Series Analysis: Forecasting and Control (1977)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)DeepPF: A deep learning based architecture for metro passenger flow prediction (2019)A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)Short-term traffic forecasting: Where we are and where we’re going (2014)Urban Computing (2014)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)
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References

  • 1998Forecasting with artificial neural networks:4,282 cited
  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 2004Travel-Time Prediction With Support Vector Regression1,480 cited
  • 2001GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics1,225 cited
  • 1984Dynamic prediction of traffic volume through Kalman filtering theory1,115 cited
  • 2000Out-of-sample tests of forecasting accuracy: an analysis and review1,092 cited
  • 2002Comparison of parametric and nonparametric models for traffic flow forecasting1,016 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
  • 2006A Bayesian Network Approach to Traffic Flow Forecasting803 cited
  • 1997Traffic Flow Forecasting: Comparison of Modeling Approaches686 cited
  • 2005Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach618 cited
  • 2007Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow207 cited
  • 2007Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting159 cited

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  • 1990Innocents in the Forest: Forecasting and Research Methods123 cited
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    • 2021Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction449 cited
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    • 2020Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting327 cited
    • 2020Urban flow prediction from spatiotemporal data using machine learning: A survey311 cited
    • 2019Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges306 cited
    • 2022Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities305 cited
    • 2019Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies297 cited
    • 2015Short-term traffic flow rate forecasting based on identifying similar traffic patterns294 cited
    • 2018Deep learning methods in transportation domain: a review291 cited
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