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LC-RNN: A Deep Learning Model for Traffic Speed Prediction
7 references·0 citing·27 second hop
LC-RNN: A Deep Learning Model for Traffic Speed Prediction (2018)LC-RNN: A Deep Learning Model for Traffic…Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Learning Traffic as Images: A…Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory (2015)Large-Scale Transportation Ne…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Time Series Forecasting Using Distribution Enhanced Linear Regression (2013)Time Series Forecasting Using…Travel time prediction with support vector regression (2004)Travel time prediction with s…Support Vector Machine Regression for Volatile Stock Market Prediction (2002)Accurate freeway travel time prediction with state-space neural networks under missing data (2005)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)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)Short-term traffic forecasting: Where we are and where we’re going (2014)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)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)Understanding Road Usage Patterns in Urban Areas (2012)Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting (2015)An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic (2017)A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data (2020)Prediction of human emergency behavior and their mobility following large-scale disaster (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Traffic prediction in a bike-sharing system (2015)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Analysis of Financial Time Series (2005)Analysis of Financial Time Series (2006)Latent Space Model for Road Networks to Predict Time-Varying Traffic (2016)Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method (2016)Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems (2020)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)
this work references cited by second hop

References

  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 2015Long short-term memory neural network for traffic speed prediction using remote microwave sensor data2,259 cited
  • 2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction1,442 cited
  • 2015Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory508 cited
  • 2004Travel time prediction with support vector regression166 cited
  • 2013Time Series Forecasting Using Distribution Enhanced Linear Regression44 cited

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