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An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic
14 references·3 citing·40 second hop
An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic (2017)An Improved Fuzzy Neural Network for Traf…Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory (2015)Large-Scale Transportation Ne…Short-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecastin…Statistical methods versus neural networks in transportation research: Differences, similarities and some insights (2010)Statistical methods versus ne…Online Learning Solutions for Freeway Travel Time Prediction (2008)Online Learning Solutions for…Forecasting of Short-Term Freeway Volume with v-Support Vector Machines (2007)Forecasting of Short-Term Fre…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…Accurate freeway travel time prediction with state-space neural networks under missing data (2005)Accurate freeway travel time …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…Chaotic analysis of traffic time series (2004)Chaotic analysis of traffic t…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…A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021)A Survey of Traffic Predictio…Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning (2019)Short-term traffic flow predi…Adaptive Multi-Kernel SVM With Spatial–Temporal Correlation for Short-Term Traffic Flow Prediction (2018)Adaptive Multi-Kernel SVM Wit…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining neural network model with seasonal time series ARIMA model (2002)Dynamic Bus Arrival Time Prediction with Artificial Neural Networks (2002)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Does providing information to drivers reduce traffic congestion? (1991)Using stated preference data for studying the effect of advanced traffic information on drivers' route choice (1997)Dynamics of commuting decision behaviour under advanced traveller information systems (1999)A tensor-based method for missing traffic data completion (2013)A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system (2015)Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction (2020)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Using LSTM and GRU neural network methods for traffic flow prediction (2016)GMAN: A Graph Multi-Attention Network for Traffic Prediction (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)Deep learning for short-term traffic flow prediction (2017)Understanding Road Usage Patterns in Urban Areas (2012)Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting (2015)A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data (2020)Spatio-Temporal Meta-Graph Learning for Traffic Forecasting (2023)Support Vector Machine Regression for Volatile Stock Market Prediction (2002)Travel time data collection handbook (2010)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Forecasting with artificial neural networks: (1998)Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting (2017)A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)A Deep Gravity model for mobility flows generation (2021)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm (2011)A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting (2021)
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References

  • 2015Long short-term memory neural network for traffic speed prediction using remote microwave sensor data2,259 cited
  • 2004Travel-Time Prediction With Support Vector Regression1,480 cited
  • 2014Short-term traffic forecasting: Where we are and where we’re going1,248 cited
  • 2010Statistical methods versus neural networks in transportation research: Differences, similarities and some insights845 cited
  • 2004Short‐term traffic forecasting: Overview of objectives and methods599 cited
  • 2015Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory508 cited
  • 2006Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach449 cited
  • 2005Accurate freeway travel time prediction with state-space neural networks under missing data448 cited
  • 2002Urban traffic flow prediction using a fuzzy-neural approach418 cited
  • 2001Use of sequential learning for short-term traffic flow forecasting200 cited
  • 2006POP-TRAFFIC: A Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction199 cited
  • 2008Online Learning Solutions for Freeway Travel Time Prediction199 cited
  • 2007Forecasting of Short-Term Freeway Volume with v-Support Vector Machines179 cited
  • 2004Chaotic analysis of traffic time series152 cited

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Cited by

  • 2021A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation410 cited
  • 2019Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning385 cited
  • 2018Adaptive Multi-Kernel SVM With Spatial–Temporal Correlation for Short-Term Traffic Flow Prediction312 cited