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An Aggregation Approach to Short-Term Traffic Flow Prediction
16 references·3 citing·38 second hop
An Aggregation Approach to Short-Term Traffic Flow Prediction (2009)An Aggregation Approach to Short-Term Tra…Introduction to time series analysis and forecasting (2008)Introduction to time series a…Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach (2006)Short-Term Freeway Traffic Fl…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 …Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…Urban traffic flow prediction using a fuzzy-neural approach (2002)Urban traffic flow prediction…Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Comparison of parametric and …Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling (2001)Multivariate Vehicular Traffi…An object-oriented neural network approach to short-term traffic forecasting (2001)An object-oriented neural net…Out-of-sample tests of forecasting accuracy: an analysis and review (2000)Out-of-sample tests of foreca…Introduction to Time Series Analysis and Forecasting: With Applications of SAS and SPSS (2000)Introduction to Time Series A…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…Book Review: Time Series Analysis: Forecasting and Control (1977)Book Review: Time Series Anal…Time Series Analysis Forecasting and Control (1971)Time Series Analysis Forecast…The Combination of Forecasts (1969)The Combination of ForecastsMachine Learning-based traffic prediction models for Intelligent Transportation Systems (2020)Machine Learning-based traffi…Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges (2019)Deep learning models for traf…Adaptive Multi-Kernel SVM With Spatial–Temporal Correlation for Short-Term Traffic Flow Prediction (2018)Adaptive Multi-Kernel SVM Wit…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)The Precision of National Income Estimates (1942)New Methods of Quality Control (1963)Short-Term Sales Forecasting (1965)Principles of Forecasting (2001)Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy (2009)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)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)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Forecasting with artificial neural networks: (1998)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach (2009)Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction (2021)Time Series Analysis: Forecasting and Control (1977)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models (2009)Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm (2011)Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model (2019)Political Parties and Macroeconomic Policy (1977)Seasonal integration and cointegration (1990)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)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)
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References

  • 1977Book Review: Time Series Analysis: Forecasting and Control19,399 cited
  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,583 cited
  • 1969The Combination of Forecasts3,438 cited
  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 1971Time Series Analysis Forecasting and Control1,814 cited
  • 2008Introduction to time series analysis and forecasting1,405 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
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 2006A Bayesian Network Approach to Traffic Flow Forecasting803 cited
  • 2005Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach618 cited
  • 2001Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling468 cited
  • 2006Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach449 cited
  • 2002Urban traffic flow prediction using a fuzzy-neural approach418 cited
  • 2000

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Introduction to Time Series Analysis and Forecasting: With Applications of SAS and SPSS
416 cited
  • 2001An object-oriented neural network approach to short-term traffic forecasting409 cited
  • Cited by

    • 2020Machine Learning-based traffic prediction models for Intelligent Transportation Systems350 cited
    • 2018Adaptive Multi-Kernel SVM With Spatial–Temporal Correlation for Short-Term Traffic Flow Prediction312 cited
    • 2019Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges306 cited