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Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks
16 references·14 citing·35 second hop
Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Forecasting the short-term metro passenge…Introductory Econometrics for Finance (2008)Introductory Econometrics for…25 years of time series forecasting (2006)25 years of time series forec…Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Optimized and meta-optimized …Short‐term traffic forecasting: Overview of objectives and methods (2004)Short‐term traffic forecastin…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…Neural network forecasting for seasonal and trend time series (2003)Neural network forecasting fo…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…Short-Term Prediction of Traffic Volume in Urban Arterials (1995)Short-Term Prediction of Traf…ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)ANALYSIS OF FREEWAY TRAFFIC T…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Book Review: Time Series Analysis: Forecasting and Control (1977)Book Review: Time Series Anal…Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method (2021)Short-term origin-destination…Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks (2021)Metro Passenger Flow Predicti…Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system (2019)Sequence to sequence learning…DeepPF: A deep learning based architecture for metro passenger flow prediction (2019)DeepPF: A deep learning based…Parallel Architecture of Convolutional Bi-Directional LSTM Neural Networks for Network-Wide Metro Ridership Prediction (2018)Parallel Architecture of Conv…A modeling framework for the dynamic management of free-floating bike-sharing systems (2018)A modeling framework for the …Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression (2017)Forecasting carbon price usin…A novel passenger flow prediction model using deep learning methods (2017)A novel passenger flow predic…Short‐Term Traffic Speed Prediction for an Urban Corridor (2016)Short‐Term Traffic Speed Pred…Predicting Short-Term Subway Ridership and Prioritizing Its Influential Factors Using Gradient Boosting Decision Trees (2016)Predicting Short-Term Subway …k-Nearest Neighbor Model for Multiple-Time-Step Prediction of Short-Term Traffic Condition (2016)k-Nearest Neighbor Model for …Forecasting the Subway Passenger Flow Under Event Occurrences With Social Media (2016)Forecasting the Subway Passen…A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system (2015)A novel wavelet-SVM short-tim…A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model (2013)A hybrid short-term traffic f…The Pricing of Options and Corporate Liabilities (1973)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Econometric Analysis of Cross Section and Panel Data (2001)Oil prices and the stock prices of alternative energy companies (2007)Stock prices of clean energy firms, oil and carbon markets: A vector autoregressive analysis (2011)The Impact of Corporate Social Responsibility Disclosure on Financial Performance: Evidence from the GCC Islamic Banking Sector (2016)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)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)Trends and random walks in macroeconmic time series (1982)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Forecasting: theory and practice (2022)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

  • 1977Book Review: Time Series Analysis: Forecasting and Control19,399 cited
  • 1977Time Series Analysis: Forecasting and Control6,592 cited
  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,583 cited
  • 1998Forecasting with artificial neural networks:4,282 cited
  • 2008Introductory Econometrics for Finance3,781 cited
  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 200625 years of time series forecasting1,598 cited
  • 2002Comparison of parametric and nonparametric models for traffic flow forecasting1,016 cited
  • 2003Neural network forecasting for seasonal and trend time series988 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
  • 1995Short-Term Prediction of Traffic Volume in Urban Arterials551 cited
  • 1999Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting

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546 cited
  • 1998Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models524 cited
  • Cited by

    • 2019DeepPF: A deep learning based architecture for metro passenger flow prediction431 cited
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    • 2017Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression310 cited
    • 2018A modeling framework for the dynamic management of free-floating bike-sharing systems277 cited
    • 2013A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model262 cited
    • 2017A novel passenger flow prediction model using deep learning methods255 cited
    • 2019Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system254 cited
    • 2016k-Nearest Neighbor Model for Multiple-Time-Step Prediction of Short-Term Traffic Condition242 cited
    • 2018Parallel Architecture of Convolutional Bi-Directional LSTM Neural Networks for Network-Wide Metro Ridership Prediction216 cited
    • 2016Forecasting the Subway Passenger Flow Under Event Occurrences With Social Media215 cited
    • 2021Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks207 cited
    • 2016Predicting Short-Term Subway Ridership and Prioritizing Its Influential Factors Using Gradient Boosting Decision Trees187 cited
    • 2021Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method187 cited
    • 2016Short‐Term Traffic Speed Prediction for an Urban Corridor186 cited