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A Study of Hybrid Neural Network Approaches and the Effects of Missing Data on Traffic Forecasting
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A Study of Hybrid Neural Network Approaches and the Effects of Missing Data on Traffic Forecasting (2001)A Study of Hybrid Neural Network Approach…An effective spatial-temporal attention based neural network for traffic flow prediction (2019)An effective spatial-temporal…Short-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecastin…A tensor-based method for missing traffic data completion (2013)A tensor-based method for mis…Statistical methods versus neural networks in transportation research: Differences, similarities and some insights (2010)Statistical methods versus ne…Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Optimized and meta-optimized …Accurate freeway travel time prediction with state-space neural networks under missing data (2005)Accurate freeway travel time …Short‐term traffic forecasting: Overview of objectives and methods (2004)Short‐term traffic forecastin…Problems in Measuring Change (1965)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data (2014)An efficient realization of deep learning for traffic data imputation (2016)A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation (2018)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 novel wavelet-SVM short-time passenger flow prediction in Beijing subway system (2015)Optimized Graph Convolution Recurrent Neural 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)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Forecasting with artificial neural networks: (1998)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)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Travel-Time Prediction With Support Vector Regression (2004)Urban Computing (2014)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)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)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)
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Cited by

  • 2014Short-term traffic forecasting: Where we are and where we’re going1,248 cited
  • 2008Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions856 cited
  • 2010Statistical methods versus neural networks in transportation research: Differences, similarities and some insights845 cited
  • 2005Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach618 cited
  • 2004Short‐term traffic forecasting: Overview of objectives and methods599 cited
  • 2005Accurate freeway travel time prediction with state-space neural networks under missing data448 cited
  • 2013A tensor-based method for missing traffic data completion441 cited
  • 2019An effective spatial-temporal attention based neural network for traffic flow prediction288 cited

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