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Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm
16 references·3 citing·35 second hop
Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm (2011)Traffic flow forecasting by seasonal SVR …Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Optimized and meta-optimized …Forecasting realized volatility using a long-memory stochastic volatility model: estimation, prediction and seasonal adjustment (2005)Forecasting realized volatili…Space–time modeling of traffic flow (2004)Space–time modeling of traffi…A multivariate state space approach for urban traffic flow modeling and prediction (2003)A multivariate state space ap…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…Application of support vector machines in financial time series forecasting (2001)Application of support vector…A Study of Hybrid Neural Network Approaches and the Effects of Missing Data on Traffic Forecasting (2001)A Study of Hybrid Neural Netw…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)Traffic Flow Forecasting: Com…Short-term inter-urban traffic forecasts using neural networks (1997)Short-term inter-urban traffi…Short-Term Prediction of Traffic Volume in Urban Arterials (1995)Short-Term Prediction of Traf…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…Forecasting Sales by Exponentially Weighted Moving Averages (1960)Forecasting Sales by Exponent…Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks (2020)Citywide Traffic Flow Predict…A distributed spatial–temporal weighted model on MapReduce for short-term traffic flow forecasting (2015)A distributed spatial–tempora…New Bayesian combination method for short-term traffic flow forecasting (2014)New Bayesian combination meth…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)Stock market prediction system with modular neural networks (1990)Introduction to financial forecasting (1996)Neural network forecasting of the British Pound/US Dollar exchange rate (1998)Support vector machine with adaptive parameters in financial time series forecasting (2003)Forecasting stock market movement direction with support vector machine (2004)Combining kohonen maps with arima time series models to forecast traffic flow (1996)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)INTEGRATED APPROACH TO VEHICLE ROUTING AND CONGESTION PREDICTION FOR REAL-TIME DRIVER GUIDANCE (1993)A Bayesian Network Approach to Traffic Flow Forecasting (2006)Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Statistical and Econometric Methods for Transportation Data Analysis (2003)Real-time road traffic prediction with spatio-temporal correlations (2010)Time series analysis forecasting and control (2009)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)Introduction to Time Series and Forecasting (2002)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Optimal Properties of Exponentially Weighted Forecasts (1960)Exponential smoothing: The state of the art (1985)25 years of time series forecasting (2006)N-BEATS: Neural basis expansion analysis for interpretable time series forecasting (2019)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)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)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
  • 1998Forecasting with artificial neural networks:4,282 cited
  • 1960Forecasting Sales by Exponentially Weighted Moving Averages2,149 cited
  • 2001Application of support vector machines in financial time series forecasting1,271 cited
  • 1984Dynamic prediction of traffic volume through Kalman filtering theory1,115 cited
  • 2002Comparison of parametric and nonparametric models for traffic flow forecasting1,016 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
  • 1995Short-Term Prediction of Traffic Volume in Urban Arterials551 cited
  • 2003A multivariate state space approach for urban traffic flow modeling and prediction518 cited
  • 2001Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling468 cited
  • 2002Urban traffic flow prediction using a fuzzy-neural approach418 cited
  • 2004Space–time modeling of traffic flow309 cited
  • 1997Short-term inter-urban traffic forecasts using neural networks286 cited
  • 2005Forecasting realized volatility using a long-memory stochastic volatility model: estimation, prediction and seasonal adjustment

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188 cited
  • 2001A Study of Hybrid Neural Network Approaches and the Effects of Missing Data on Traffic Forecasting149 cited
  • Cited by

    • 2020Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks238 cited
    • 2014New Bayesian combination method for short-term traffic flow forecasting190 cited
    • 2015A distributed spatial–temporal weighted model on MapReduce for short-term traffic flow forecasting188 cited