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Deep Temporal Convolutional Networks for Short-Term Traffic Flow Forecasting
15 references·0 citing·42 second hopsampled
Deep Temporal Convolutional Networks for Short-Term Traffic Flow Forecasting (2019)Deep Temporal Convolutional Networks for …Improved Deep Hybrid Networks for Urban Traffic Flow Prediction Using Trajectory Data (2018)Improved Deep Hybrid Networks…Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)Spatiotemporal Recurrent Conv…LSTM network: a deep learning approach for short‐term traffic forecast (2017)LSTM network: a deep learning…Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting (2017)Deep Learning: A Generic Appr…Deep learning for short-term traffic flow prediction (2017)Deep learning for short-term …Short‐Term Traffic Speed Prediction for an Urban Corridor (2016)Short‐Term Traffic Speed Pred…Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network (2015)Predicting Short-Term Traffic…A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system (2015)A novel wavelet-SVM short-tim…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Adaptive Kalman filter approa…Short-term traffic speed forecasting hybrid model based on Chaos–Wavelet Analysis-Support Vector Machine theory (2012)Short-term traffic speed fore…Statistical methods versus neural networks in transportation research: Differences, similarities and some insights (2010)Statistical methods versus ne…Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Optimized and meta-optimized …Taguchi Methods: A Hands-On Approach (1994)Taguchi Methods: A Hands-On A…Quality Engineering Using Robust Design (1991)Quality Engineering Using Rob…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)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)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Time Series Analysis: Forecasting and Control. (1978)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Statistics for experimenters : an introduction to design, data analysis, and model building / George E.P. Box, William G. Hunter, J. Stuart Hunter (1978)Statistics for experimenters. An introduction to design, data analysis, and model building. (1978)Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building. (1979)Taguchi's Parameter Design: A Panel Discussion (1992)Response Surface Methodology: A Retrospective and Literature Survey (2004)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)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)Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)Smart Cities: A Survey on Data Management, Security, and Enabling Technologies (2017)A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method (2021)Travel-Time Prediction With Support Vector Regression (2004)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Applications of Artificial Intelligence and Machine learning in smart cities (2020)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)Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values (2020)The Economics of Urban Transportation (2007)Short-term traffic forecasting: Where we are and where we’re going (2014)Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends (2019)Online Incremental Machine Learning Platform for Big Data-Driven Smart Traffic Management (2019)A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)
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References

  • 1991Quality Engineering Using Robust Design3,539 cited
  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2017LSTM network: a deep learning approach for short‐term traffic forecast1,899 cited
  • 2017Deep learning for short-term traffic flow prediction1,060 cited
  • 2010Statistical methods versus neural networks in transportation research: Differences, similarities and some insights845 cited
  • 2014Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification653 cited
  • 2017Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks623 cited
  • 2005Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach618 cited
  • 2015Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network540 cited
  • 2017Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting427 cited
  • 2015A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system384 cited
  • 2012Short-term traffic speed forecasting hybrid model based on Chaos–Wavelet Analysis-Support Vector Machine theory290 cited
  • 2016Short‐Term Traffic Speed Prediction for an Urban Corridor186 cited
  • 2018Improved Deep Hybrid Networks for Urban Traffic Flow Prediction Using Trajectory Data

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162 cited
  • 1994Taguchi Methods: A Hands-On Approach141 cited
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