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A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system
16 references·4 citing·33 second hop
A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system (2015)A novel wavelet-SVM short-time passenger …Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Forecasting the short-term me…PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach (2009)PPCA-Based Missing Data Imput…Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…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 …Accurate freeway travel time prediction with state-space neural networks under missing data (2005)Accurate freeway travel time …Travel-Time Prediction With Support Vector Regression (2004)Travel-Time Prediction With S…Short‐term traffic forecasting: Overview of objectives and methods (2004)Short‐term traffic forecastin…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 …Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting (1999)Application of Subset Autoreg…Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models (1998)Urban Freeway Traffic Flow Pr…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)Traffic Flow Forecasting: Com…ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)ANALYSIS OF FREEWAY TRAFFIC T…Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis (2020)Big data algorithms and appli…Spatiotemporal Traffic Flow Prediction with KNN and LSTM (2019)Spatiotemporal Traffic Flow P…A modeling framework for the dynamic management of free-floating bike-sharing systems (2018)A modeling framework for the …A novel passenger flow prediction model using deep learning methods (2017)A novel passenger flow predic…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)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)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)INTEGRATED APPROACH TO VEHICLE ROUTING AND CONGESTION PREDICTION FOR REAL-TIME DRIVER GUIDANCE (1993)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)Combining kohonen maps with arima time series models to forecast traffic flow (1996)Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction (2021)Exponential Smoothing with an Adaptive Response Rate (1967)The Development of a Self-Adaptive Forecasting Technique (1969)Applied Time Series Analysis for Managerial Forecasting. 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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
  • 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
  • 2006A Bayesian Network Approach to Traffic Flow Forecasting803 cited
  • 1979ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES767 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
  • 2004Short‐term traffic forecasting: Overview of objectives and methods599 cited
  • 1999Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting546 cited
  • 1998Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models524 cited
  • 2011Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks475 cited
  • 2006Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach

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449 cited
  • 2005Accurate freeway travel time prediction with state-space neural networks under missing data448 cited
  • 2009PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach445 cited
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    • 2017A novel passenger flow prediction model using deep learning methods255 cited