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Traffic flow prediction based on combination of support vector machine and data denoising schemes
16 references·1 citing·41 second hop
Traffic flow prediction based on combination of support vector machine and data denoising schemes (2019)Traffic flow prediction based on combinat…Road screening and distribution route multi-objective robust optimization for hazardous materials based on neural network and genetic algorithm (2018)Road screening and distributi…A hybrid algorithm for Urban transit schedule optimization (2018)A hybrid algorithm for Urban …Taxi trips distribution modeling based on Entropy-Maximizing theory: A case study in Harbin city—China (2017)Taxi trips distribution model…An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic (2017)An Improved Fuzzy Neural Netw…Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction (2014)Spatiotemporal Patterns in La…A hybrid approach to integrate fuzzy C-means based imputation method with genetic algorithm for missing traffic volume data estimation (2014)A hybrid approach to integrat…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…Online Learning Solutions for Freeway Travel Time Prediction (2008)Online Learning Solutions for…Short‐Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition (2007)Short‐Term Traffic Volume For…Forecasting of Short-Term Freeway Volume with v-Support Vector Machines (2007)Forecasting of Short-Term Fre…POP-TRAFFIC: A Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction (2006)POP-TRAFFIC: A Novel Fuzzy Ne…Wavelet Packet‐Autocorrelation Function Method for Traffic Flow Pattern Analysis (2004)Wavelet Packet‐Autocorrelatio…Dynamic Travel Time Prediction with Real-Time and Historic Data (2003)Dynamic Travel Time Predictio…Urban traffic flow prediction using a fuzzy-neural approach (2002)Urban traffic flow prediction…Use of sequential learning for short-term traffic flow forecasting (2001)Use of sequential learning fo…Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Exponentially Weighted Moving…Traffic flow prediction by an ensemble framework with data denoising and deep learning model (2020)Traffic flow prediction by an…Control Chart Tests Based on Geometric Moving Averages (1959)The Exponentially Weighted Moving Average (1986)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)A review of multivariate control charts (1995)Research Issues and Ideas in Statistical Process Control (1999)Control Chart Tests Based on Geometric Moving Averages (2000)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Combining kohonen maps with arima time series models to forecast traffic flow (1996)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges (2019)Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems (2020)How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey (2020)Forecasting Travel Time (1996)Travel Time Forecasting and Dynamic Origin-Destination Estimation for Freeways Based on Bluetooth Traffic Monitoring (2010)A bayesian dynamic linear model approach for real-time short-term freeway travel time prediction (2011)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 Deep Learning Approach to the Citywide Traffic Accident Risk Prediction (2018)Deep Sequence Learning with Auxiliary Information for Traffic Prediction (2018)Traffic speed prediction for urban transportation network: A path based deep learning approach (2019)Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)Deep learning for short-term traffic flow prediction (2017)Time Series Analysis, Forecasting and Control. (1971)Book Review: Time Series Analysis: Forecasting and Control (1977)Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method (2018)Fuzzy-Wavelet RBFNN Model for Freeway Incident Detection (2000)Introduction to Time Series and Forecasting (2002)Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction (2018)Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values (2020)Statistics for experimenters: design, innovation, and discovery (2006)Introduction to time series analysis and forecasting (2008)Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data (2014)DeepPF: A deep learning based architecture for metro passenger flow prediction (2019)A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)Short-term traffic forecasting: Where we are and where we’re going (2014)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Adaptive Multi-Kernel SVM With Spatial–Temporal Correlation for Short-Term Traffic Flow Prediction (2018)Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning (2019)A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021)Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach (2006)A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting (2021)
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References

  • 1990Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements1,949 cited
  • 2011Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm433 cited
  • 2002Urban traffic flow prediction using a fuzzy-neural approach418 cited
  • 2017An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic369 cited
  • 2007Short‐Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition324 cited
  • 2003Dynamic Travel Time Prediction with Real-Time and Historic Data296 cited
  • 2014Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction223 cited
  • 2014A hybrid approach to integrate fuzzy C-means based imputation method with genetic algorithm for missing traffic volume data estimation212 cited
  • 2004Wavelet Packet‐Autocorrelation Function Method for Traffic Flow Pattern Analysis206 cited
  • 2001Use of sequential learning for short-term traffic flow forecasting201 cited
  • 2008Online Learning Solutions for Freeway Travel Time Prediction201 cited
  • 2006POP-TRAFFIC: A Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction199 cited
  • 2007Forecasting of Short-Term Freeway Volume with v-Support Vector Machines180 cited
  • 2018Road screening and distribution route multi-objective robust optimization for hazardous materials based on neural network and genetic algorithm

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93 cited
  • 2017Taxi trips distribution modeling based on Entropy-Maximizing theory: A case study in Harbin city—China87 cited
  • 2018A hybrid algorithm for Urban transit schedule optimization50 cited
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    • 2020Traffic flow prediction by an ensemble framework with data denoising and deep learning model174 cited