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ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES
3 references·16 citing·36 second hop
ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES D…Applied Time Series Analysis for Managerial Forecasting. (1974)Applied Time Series Analysis …The Development of a Self-Adaptive Forecasting Technique (1969)The Development of a Self-Ada…Exponential Smoothing with an Adaptive Response Rate (1967)Exponential Smoothing with an…A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting (2021)A3T-GCN: Attention Temporal G…Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting (2020)Traffic transformer: Capturin…Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction (2020)Optimized Graph Convolution R…Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis (2020)Big data algorithms and appli…A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)A Survey on Modern Deep Neura…DeepPF: A deep learning based architecture for metro passenger flow prediction (2019)DeepPF: A deep learning based…Road Traffic Forecasting: Recent Advances and New Challenges (2018)Road Traffic Forecasting: Rec…Short-term traffic flow prediction with Conv-LSTM (2017)Short-term traffic flow predi…From Twitter to detector: Real-time traffic incident detection using social media data (2016)From Twitter to detector: Rea…A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system (2015)A novel wavelet-SVM short-tim…Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Adaptive Kalman filter approa…Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Forecasting the short-term me…Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models (2009)Predictions of Freeway Traffi…Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach (2006)Short-Term Freeway Traffic Fl…Short‐term traffic forecasting: Overview of objectives and methods (2004)Short‐term traffic forecastin…Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting (1999)Application of Subset Autoreg…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 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)Time series forecasting using a hybrid ARIMA and neural network model (2003)A modeling framework for the dynamic management of free-floating bike-sharing systems (2018)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Forecasting with artificial neural networks: (1998)Statistical and Econometric Methods for Transportation Data Analysis (2003)Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting (2017)Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm (2011)Short-term traffic forecasting: Where we are and where we’re going (2014)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)Online Incremental Machine Learning Platform for Big Data-Driven Smart Traffic Management (2019)A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data (2020)Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)A Review of Traffic Congestion Prediction Using Artificial Intelligence (2021)A literature review of Artificial Intelligence applications in railway systems (2022)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Learning Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer (2021)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Travel-Time Prediction With Support Vector Regression (2004)Using LSTM and GRU neural network methods for traffic flow prediction (2016)A multivariate state space approach for urban traffic flow modeling and prediction (2003)A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021)
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References

  • 1967Exponential Smoothing with an Adaptive Response Rate339 cited
  • 1974Applied Time Series Analysis for Managerial Forecasting.326 cited
  • 1969The Development of a Self-Adaptive Forecasting Technique47 cited

Cited by

  • 2014Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification653 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
  • 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 Approach449 cited
  • 2019DeepPF: A deep learning based architecture for metro passenger flow prediction431 cited
  • 2020A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges424 cited
  • 2020Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting417 cited
  • 2021A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting409 cited
  • 2018Road Traffic Forecasting: Recent Advances and New Challenges387 cited
  • 2015

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A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system
384 cited
  • 2020Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction384 cited
  • 2017Short-term traffic flow prediction with Conv-LSTM373 cited
  • 2016From Twitter to detector: Real-time traffic incident detection using social media data365 cited
  • 2009Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models363 cited
  • 2020Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis357 cited