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Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
10 references·16 citing·24 second hop
Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural network for…Short-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecastin…Statistical methods versus neural networks in transportation research: Differences, similarities and some insights (2010)Statistical methods versus ne…Online Learning Solutions for Freeway Travel Time Prediction (2008)Online Learning Solutions for…Forecasting of Short-Term Freeway Volume with v-Support Vector Machines (2007)Forecasting of Short-Term Fre…Data mining, fraud detection and mobile telecommunications: call pattern analysis with unsupervised neural networks (2005)Data mining, fraud detection …Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Comparison of parametric and …Use of sequential learning for short-term traffic flow forecasting (2001)Use of sequential learning fo…Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network (1998)Short-Term Freeway Traffic Vo…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Dynamic prediction of traffic…Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Deep Learning on Traffic Pred…Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values (2020)Stacked bidirectional and uni…Spatial-Temporal Transformer Networks for Traffic Flow Forecasting (2020)Spatial-Temporal Transformer …GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)GMAN: A Graph Multi-Attention…Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Traffic Graph Convolutional R…LSTM-based traffic flow prediction with missing data (2018)LSTM-based traffic flow predi…Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction (2018)Deep Bidirectional and Unidir…Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Big Data Analytics in Intelli…A hybrid deep learning based traffic flow prediction method and its understanding (2018)A hybrid deep learning based …Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)Spatiotemporal Recurrent Conv…Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Short-term forecasting of pas…LSTM network: a deep learning approach for short‐term traffic forecast (2017)LSTM network: a deep learning…Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Learning Traffic as Images: A…Deep learning for short-term traffic flow prediction (2017)Deep learning for short-term …Using LSTM and GRU neural network methods for traffic flow prediction (2016)Using LSTM and GRU neural net…A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting (2015)A spatiotemporal correlative …Exponential smoothing: The state of the art (1985)Introduction to Time Series and Forecasting (2002)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)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)Combining kohonen maps with arima time series models to forecast traffic flow (1996)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Travel-Time Prediction With Support Vector Regression (2004)Applications of Artificial Intelligence and Machine learning in smart cities (2020)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Big Data: A Survey (2014)Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends (2019)A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution (2022)Graph neural network for traffic forecasting: A survey (2022)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting (2020)Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting (2021)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)
this work references cited by second hop

References

  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 2014Short-term traffic forecasting: Where we are and where we’re going1,248 cited
  • 1984Dynamic prediction of traffic volume through Kalman filtering theory1,115 cited
  • 2002Comparison of parametric and nonparametric models for traffic flow forecasting1,016 cited
  • 2010Statistical methods versus neural networks in transportation research: Differences, similarities and some insights845 cited
  • 2001Use of sequential learning for short-term traffic flow forecasting200 cited
  • 2008Online Learning Solutions for Freeway Travel Time Prediction199 cited
  • 2007Forecasting of Short-Term Freeway Volume with v-Support Vector Machines179 cited
  • 1998Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network175 cited
  • 2005Data mining, fraud detection and mobile telecommunications: call pattern analysis with unsupervised neural networks37 cited

Cited by

  • 2020GMAN: A Graph Multi-Attention Network for Traffic Prediction1,923 cited
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  • 2016Using LSTM and GRU neural network methods for traffic flow prediction1,593 cited
  • 2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

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1,442 cited
  • 2018Big Data Analytics in Intelligent Transportation Systems: A Survey1,128 cited
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  • 2019Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting1,020 cited
  • 2018A hybrid deep learning based traffic flow prediction method and its understanding806 cited
  • 2017Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach748 cited
  • 2022Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions690 cited
  • 2017Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks623 cited
  • 2020Spatial-Temporal Transformer Networks for Traffic Flow Forecasting606 cited
  • 2018Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction583 cited
  • 2018LSTM-based traffic flow prediction with missing data554 cited
  • 2020Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values512 cited
  • 2015A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting471 cited