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Online Learning Solutions for Freeway Travel Time Prediction
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Online Learning Solutions for Freeway Travel Time Prediction (2008)Online Learning Solutions for Freeway Tra…Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values (2020)Stacked bidirectional and uni…Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)Spatiotemporal Recurrent Conv…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…Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…Short-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecastin…Experienced travel time prediction for congested freeways (2013)Experienced travel time predi…Dynamic data-driven local traffic state estimation and prediction (2013)Dynamic data-driven local tra…Prediction Intervals to Account for Uncertainties in Travel Time Prediction (2011)Prediction Intervals to Accou…Bayesian committee of neural networks to predict travel times with confidence intervals (2009)Bayesian committee of neural …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)LSTM network: a deep learning approach for short‐term traffic forecast (2017)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Driver Acceptance of Unreliable Traffic Information in Familiar and Unfamiliar Settings (1997)A Bayesian Multiple Models Combination Method for Time Series Prediction (2001)Bayesian neural network learning for repeat purchase modelling in direct marketing (2002)Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances (2011)A gradient boosting method to improve travel time prediction (2015)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)Travel-Time Reliability as a Measure of Service (2003)Wavelet Packet‐Autocorrelation Function Method for Traffic Flow Pattern Analysis (2004)Estimating dynamic roadway travel times using automatic vehicle identification data for low sampling rates (2006)Control Strategies for an Idealized Public Transportation System (1972)The valuation of reliability for personal travel (2001)Public Transit Planning and Operation (2007)Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data (2014)Economic Forecasts and Policy. (1960)Economic Forecasts and Policy (1962)Econometric Models and Economic Forecasts (1990)Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Travel-Time Prediction With Support Vector Regression (2004)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)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction (2018)Time Series Analysis: Forecasting and Control. (1978)Tie Series Analysis, Forecasting, and Control (1995)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)
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Cited by

  • 2015Long short-term memory neural network for traffic speed prediction using remote microwave sensor data2,259 cited
  • 2014Short-term traffic forecasting: Where we are and where we’re going1,248 cited
  • 2017Deep learning for short-term traffic flow prediction1,060 cited
  • 2017Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks623 cited
  • 2020Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values512 cited
  • 2017An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic369 cited
  • 2011Prediction Intervals to Account for Uncertainties in Travel Time Prediction183 cited
  • 2013Experienced travel time prediction for congested freeways152 cited
  • 2013Dynamic data-driven local traffic state estimation and prediction152 cited
  • 2009Bayesian committee of neural networks to predict travel times with confidence intervals150 cited

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