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Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm
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Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm (2011)Neural-Network-Based Models for Short-Ter…Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…Introduction to time series analysis and forecasting (2008)Introduction to time series a…Lumpy demand forecasting using neural networks (2007)Lumpy demand forecasting usin…The development of a weighted evolving fuzzy neural network for PCB sales forecasting (2006)The development of a weighted…Statistics for experimenters: design, innovation, and discovery (2006)Statistics for experimenters:…Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach (2006)Short-Term Freeway Traffic Fl…POP-TRAFFIC: A Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction (2006)POP-TRAFFIC: A Novel Fuzzy Ne…Neural network forecasting for seasonal and trend time series (2003)Neural network forecasting fo…Urban traffic flow prediction using a fuzzy-neural approach (2002)Urban traffic flow prediction…Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Comparison of parametric and …Forecasting Principles and Applications (1998)Forecasting Principles and Ap…Nonparametric Regression and Short‐Term Freeway Traffic Forecasting (1991)Nonparametric Regression and …Marketing Decision Making: A Model Building Approach (1984)Marketing Decision Making: A …Dynamic prediction of traffic volume through Kalman filtering theory (1984)Dynamic prediction of traffic…Book Review: Marketing Decision Making: A Model Building Approach (1971)Book Review: Marketing Decisi…The Fundamental Theorem of Exponential Smoothing (1961)The Fundamental Theorem of Ex…Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture (2020)Long-Term Traffic Prediction …Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems (2020)Artificial intelligence-based…A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)A Survey on Modern Deep Neura…A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning (2020)A Hybrid Method for Traffic F…Traffic speed prediction for urban transportation network: A path based deep learning approach (2019)Traffic speed prediction for …Traffic flow prediction based on combination of support vector machine and data denoising schemes (2019)Traffic flow prediction based…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…Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges (2019)Deep learning models for traf…Research on Traffic Flow Prediction in the Big Data Environment Based on the Improved RBF Neural Network (2017)Research on Traffic Flow Pred…Optimized Structure of the Traffic Flow Forecasting Model With a Deep Learning Approach (2016)Optimized Structure of the Tr…Short-term traffic flow rate forecasting based on identifying similar traffic patterns (2015)Short-term traffic flow rate …Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data (2014)Traffic Flow Prediction for R…Supervised Weighting-Online Learning Algorithm for Short-Term Traffic Flow Prediction (2013)Supervised Weighting-Online L…Short Term Traffic Flow Prediction for a Non Urban Highway Using Artificial Neural Network (2013)Short Term Traffic Flow Predi…A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model (2013)A hybrid short-term traffic f…Book Review: Time Series Analysis: Forecasting and Control (1977)Trends and random walks in macroeconmic time series (1982)Forecasting with artificial neural networks: (1998)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)Travel-Time Prediction With Support Vector Regression (2004)Short-term traffic forecasting: Where we are and where we’re going (2014)Urban Computing (2014)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting (1999)A multivariate state space approach for urban traffic flow modeling and prediction (2003)Time series analysis forecasting and control (2009)A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system (2015)An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic (2017)Introduction to Time Series and Forecasting (2002)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)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)Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)An Aggregation Approach to Short-Term Traffic Flow Prediction (2009)Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models (2009)Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model (2019)Experimental design in chromatography: A tutorial review (2012)Phoenics: A Bayesian Optimizer for Chemistry (2018)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High-Technology Products (1987)Customer satisfaction, customer retention, and market share (1993)New Product Portfolio Management: Practices and Performance (1999)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)
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References

  • 2006Statistics for experimenters: design, innovation, and discovery1,657 cited
  • 2008Introduction to time series analysis and forecasting1,405 cited
  • 1984Dynamic prediction of traffic volume through Kalman filtering theory1,115 cited
  • 2002Comparison of parametric and nonparametric models for traffic flow forecasting1,016 cited
  • 2003Neural network forecasting for seasonal and trend time series988 cited
  • 2008Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions856 cited
  • 1971Book Review: Marketing Decision Making: A Model Building Approach550 cited
  • 1991Nonparametric Regression and Short‐Term Freeway Traffic Forecasting526 cited
  • 2006Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach449 cited
  • 2002Urban traffic flow prediction using a fuzzy-neural approach418 cited
  • 1998Forecasting Principles and Applications388 cited
  • 1961The Fundamental Theorem of Exponential Smoothing335 cited
  • 1984Marketing Decision Making: A Model Building Approach288 cited
  • 2007Lumpy demand forecasting using neural networks220 cited
  • 2006The development of a weighted evolving fuzzy neural network for PCB sales forecasting

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199 cited
  • 2006POP-TRAFFIC: A Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction199 cited
  • Cited by

    • 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
    • 2014Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data346 cited
    • 2013Supervised Weighting-Online Learning Algorithm for Short-Term Traffic Flow Prediction336 cited
    • 2019Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges306 cited
    • 2015Short-term traffic flow rate forecasting based on identifying similar traffic patterns294 cited
    • 2013Short Term Traffic Flow Prediction for a Non Urban Highway Using Artificial Neural Network293 cited
    • 2020Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture267 cited
    • 2013A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model262 cited
    • 2016Optimized Structure of the Traffic Flow Forecasting Model With a Deep Learning Approach262 cited
    • 2019Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system254 cited
    • 2020Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems241 cited
    • 2019Traffic flow prediction based on combination of support vector machine and data denoising schemes220 cited
    • 2019Traffic speed prediction for urban transportation network: A path based deep learning approach214 cited
    • 2020A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning208 cited
    • 2017Research on Traffic Flow Prediction in the Big Data Environment Based on the Improved RBF Neural Network203 cited