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POP-TRAFFIC: A Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction
4 references·8 citing·38 second hop
POP-TRAFFIC: A Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction (2006)POP-TRAFFIC: A Novel Fuzzy Neural Approac…Travel-Time Prediction With Support Vector Regression (2004)Travel-Time Prediction With S…Urban traffic flow prediction using a fuzzy-neural approach (2002)Urban traffic flow prediction…Fuzzy-Wavelet RBFNN Model for Freeway Incident Detection (2000)Fuzzy-Wavelet RBFNN Model for…Organisation behaviour (1975)Organisation behaviourTraffic flow prediction based on combination of support vector machine and data denoising schemes (2019)Traffic flow prediction based…Deep learning for short-term traffic flow prediction (2017)Deep learning for short-term …An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic (2017)An Improved Fuzzy Neural Netw…Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method (2016)Traffic Speed Prediction and …Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction (2014)Spatiotemporal Patterns in La…Short-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecastin…Dynamic near-term traffic flow prediction: system-oriented approach based on past experiences (2012)Dynamic near-term traffic flo…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…URBAN FREEWAY CONGESTION: QUANTIFICATION OF THE PROBLEM AND EFFECTIVENESS OF POTENTIAL SOLUTIONS (1987)Automated detection of lane-blocking freeway incidents using artificial neural networks (1995)Feature Extraction for Traffic Incident Detection Using Wavelet Transform and Linear Discriminant Analysis (2000)Incident detection using support vector machines (2003)Wavelet Packet‐Autocorrelation Function Method for Traffic Flow Pattern Analysis (2004)Real-time accident detection: Coping with imbalanced data (2019)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)A Deep Learning Approach to the Citywide Traffic Accident Risk Prediction (2018)Deep Sequence Learning with Auxiliary Information for Traffic Prediction (2018)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)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Dynamic prediction of traffic volume through Kalman filtering theory (1984)A distributed spatial–temporal weighted model on MapReduce for short-term traffic flow forecasting (2015)Short-term traffic flow prediction with LSTM recurrent neural network (2017)Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting (2019)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)GMAN: A Graph Multi-Attention Network for Traffic Prediction (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)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)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Short-Term Traffic Flow Prediction Method for Urban Road Sections Based on Space–Time Analysis and GRU (2019)Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach (2006)A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting (2021)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)
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References

  • 2004Travel-Time Prediction With Support Vector Regression1,480 cited
  • 2002Urban traffic flow prediction using a fuzzy-neural approach418 cited
  • 2000Fuzzy-Wavelet RBFNN Model for Freeway Incident Detection226 cited
  • 1975Organisation behaviour136 cited

Cited by

  • 2014Short-term traffic forecasting: Where we are and where we’re going1,248 cited
  • 2017Deep learning for short-term traffic flow prediction1,060 cited
  • 2011Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm433 cited
  • 2017An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic369 cited
  • 2016Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method261 cited
  • 2012Dynamic near-term traffic flow prediction: system-oriented approach based on past experiences226 cited
  • 2014Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction223 cited
  • 2019Traffic flow prediction based on combination of support vector machine and data denoising schemes220 cited

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