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A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model
16 references·3 citing·33 second hop
A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model (2013)A hybrid short-term traffic flow forecast…Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm (2011)Neural-Network-Based Models f…Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Forecasting the short-term me…Real-time road traffic prediction with spatio-temporal correlations (2010)Real-time road traffic predic…Analysis of Financial Time Series (2006)Analysis of Financial Time Se…Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Optimized and meta-optimized …A forecast comparison of volatility models: does anything beat a GARCH(1,1)? (2005)A forecast comparison of vola…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…Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling (2001)Multivariate Vehicular Traffi…Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models (1998)Urban Freeway Traffic Flow Pr…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)On the Relation between the E…Generalized autoregressive conditional heteroskedasticity (1986)Generalized autoregressive co…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Dynamic prediction of traffic…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Autoregressive Conditional He…ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)ANALYSIS OF FREEWAY TRAFFIC T…Short-term prediction of lane-level traffic speeds: A fusion deep learning model (2019)Short-term prediction of lane…Parallel Architecture of Convolutional Bi-Directional LSTM Neural Networks for Network-Wide Metro Ridership Prediction (2018)Parallel Architecture of Conv…Short-Term Traffic Prediction Based on Dynamic Tensor Completion (2016)Short-Term Traffic Prediction…Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Aggregation of space-time processes (2003)Predicting Taxi–Passenger Demand Using Streaming Data (2013)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Multivariate Simultaneous Generalized ARCH (1995)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)ARCH modeling in finance (1992)The Cross‐Section of Volatility and Expected Returns (2006)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)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Multivariate GARCH models: a surveyThe Pricing of Options and Corporate Liabilities (1973)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Another look at measures of forecast accuracy (2006)Multivariate GARCH models: a survey (2006)Comparing Predictive Accuracy (1994)Modeling and Forecasting Realized Volatility (2003)Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards (2004)Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns (2006)Exponential Smoothing with an Adaptive Response Rate (1967)The Development of a Self-Adaptive Forecasting Technique (1969)Applied Time Series Analysis for Managerial Forecasting. (1974)Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting (1999)Econometric Analysis of Cross Section and Panel Data (2001)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)
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References

  • 1986Generalized autoregressive conditional heteroskedasticity23,378 cited
  • 1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation21,185 cited
  • 1993On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks9,063 cited
  • 2006Analysis of Financial Time Series2,382 cited
  • 2005A forecast comparison of volatility models: does anything beat a GARCH(1,1)?1,878 cited
  • 2004Travel-Time Prediction With Support Vector Regression1,480 cited
  • 1984Dynamic prediction of traffic volume through Kalman filtering theory1,115 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 1979ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES767 cited
  • 2010Real-time road traffic prediction with spatio-temporal correlations674 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
  • 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 networks

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475 cited
  • 2001Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling468 cited
  • 2011Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm433 cited
  • Cited by

    • 2016Short-Term Traffic Prediction Based on Dynamic Tensor Completion234 cited
    • 2018Parallel Architecture of Convolutional Bi-Directional LSTM Neural Networks for Network-Wide Metro Ridership Prediction216 cited
    • 2019Short-term prediction of lane-level traffic speeds: A fusion deep learning model180 cited