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A Hidden Markov Model for short term prediction of traffic conditions on freeways
13 references·5 citing·29 second hop
A Hidden Markov Model for short term prediction of traffic conditions on freeways (2014)A Hidden Markov Model for short term pred…Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models (2009)Predictions of Freeway Traffi…Short‐Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition (2007)Short‐Term Traffic Volume For…Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow (2007)Adaptive Seasonal Time Series…Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Optimized and meta-optimized …Dynamic Wavelet Neural Network Model for Traffic Flow Forecasting (2005)Dynamic Wavelet Neural Networ…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…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 …Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting (1999)Application of Subset Autoreg…Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network (1998)Short-Term Freeway Traffic Vo…Short-Term Prediction of Traffic Volume in Urban Arterials (1995)Short-Term Prediction of Traf…SHORT-TERM TRAFFIC FLOW PREDICTION: NEURAL NETWORK APPROACH (1994)SHORT-TERM TRAFFIC FLOW PREDI…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Dynamic prediction of traffic…Traffic speed prediction for urban transportation network: A path based deep learning approach (2019)Traffic speed prediction for …Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm (2019)Day-ahead traffic flow foreca…An AutoEncoder and LSTM-Based Traffic Flow Prediction Method (2019)An AutoEncoder and LSTM-Based…Deep Sequence Learning with Auxiliary Information for Traffic Prediction (2018)Deep Sequence Learning with A…Short-term freeway traffic parameter prediction: Application of grey system theory models (2016)Short-term freeway traffic pa…Exponential smoothing: The state of the art (1985)Introduction to Time Series and Forecasting (2002)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Combining kohonen maps with arima time series models to forecast traffic flow (1996)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)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control. (1978)Supervised Weighting-Online Learning Algorithm for Short-Term Traffic Flow Prediction (2013)Forecasting with artificial neural networks: (1998)Statistical and Econometric Methods for Transportation Data Analysis (2003)Real-time road traffic prediction with spatio-temporal correlations (2010)Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)A multivariate state space approach for urban traffic flow modeling and prediction (2003)Time series analysis forecasting and control (2009)Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)Time Series Analysis: Forecasting and Control (1977)Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach (2006)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)Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning (2019)Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting (2020)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)
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References

  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 1984Dynamic prediction of traffic volume through Kalman filtering theory1,115 cited
  • 2002Comparison of parametric and nonparametric models for traffic flow forecasting1,016 cited
  • 2005Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach618 cited
  • 1995Short-Term Prediction of Traffic Volume in Urban Arterials551 cited
  • 1999Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting546 cited
  • 2002Urban traffic flow prediction using a fuzzy-neural approach418 cited
  • 2005Dynamic Wavelet Neural Network Model for Traffic Flow Forecasting367 cited
  • 2009Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models363 cited
  • 2007Short‐Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition324 cited
  • 1994SHORT-TERM TRAFFIC FLOW PREDICTION: NEURAL NETWORK APPROACH311 cited
  • 2007Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow209 cited
  • 1998Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network176 cited

Cited by

  • 2018

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Deep Sequence Learning with Auxiliary Information for Traffic Prediction
227 cited
  • 2019Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm227 cited
  • 2019Traffic speed prediction for urban transportation network: A path based deep learning approach214 cited
  • 2016Short-term freeway traffic parameter prediction: Application of grey system theory models200 cited
  • 2019An AutoEncoder and LSTM-Based Traffic Flow Prediction Method196 cited