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Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow
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Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow (2007)Adaptive Seasonal Time Series Models for …Introduction to Time Series and Forecasting (2002)Introduction to Time Series a…Introduction to Time Series and Forecasting (1996)Introduction to Time Series a…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…Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Traffic prediction using arti…FedSTN: Graph Representation Driven Federated Learning for Edge Computing Enabled Urban Traffic Flow Prediction (2022)FedSTN: Graph Representation …Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Deep Learning on Traffic Pred…Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction (2020)Dynamic Spatial-Temporal Repr…Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction (2019)Revisiting Spatial-Temporal S…Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction (2019)Learning from Multiple Cities…Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Deep Multi-View Spatial-Tempo…Short-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecastin…Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Adaptive Kalman filter approa…Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Short-Term Traffic Flow Forec…Forecasting with artificial neural networks: (1998)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Travel-Time Prediction With Support Vector Regression (2004)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)Statistical and Econometric Methods for Transportation Data Analysis (2003)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Deep learning for short-term traffic flow prediction (2017)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Time Series Analysis: Forecasting and Control. (1978)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Analysis of Financial Time Series (2006)Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure (2016)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (2019)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)A Survey on Deep Learning for Human Mobility (2021)PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction (2023)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Using daily stock returns (1985)Introductory Econometrics for Finance (2008)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Short-term traffic flow prediction using seasonal ARIMA model with limited input data (2015)
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References

  • 1977Book Review: Time Series Analysis: Forecasting and Control19,399 cited
  • 1977Time Series Analysis: Forecasting and Control6,592 cited
  • 2002Introduction to Time Series and Forecasting3,934 cited
  • 1996Introduction to Time Series and Forecasting595 cited

Cited by

  • 2014Short-term traffic forecasting: Where we are and where we’re going1,248 cited
  • 2018Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction1,248 cited
  • 2019Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction921 cited
  • 2013Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning763 cited
  • 2022Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions690 cited
  • 2014Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification653 cited
  • 2022Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities305 cited
  • 2019Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction270 cited
  • 2022FedSTN: Graph Representation Driven Federated Learning for Edge Computing Enabled Urban Traffic Flow Prediction183 cited
  • 2020Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction

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169 cited