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Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning
14 references·3 citing·31 second hop
Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning (2019)Flow Prediction in Spatio-Temporal Networ…Regions, Periods, Activities (2017)Regions, Periods, ActivitiesPRED (2017)PREDDeep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…Latent Space Model for Road Networks to Predict Time-Varying Traffic (2016)Latent Space Model for Road N…Traffic prediction in a bike-sharing system (2015)Traffic prediction in a bike-…Predicting traffic volumes and estimating the effects of shocks in massive transportation systems (2015)Predicting traffic volumes an…Next place predictions based on user mobility traces (2015)Next place predictions based …CityMomentum (2015)CityMomentumTraffic Flow Prediction for Road Transportation Networks With Limited Traffic Data (2014)Traffic Flow Prediction for R…Prediction of human emergency behavior and their mobility following large-scale disaster (2014)Prediction of human emergency…Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models (2009)Predictions of Freeway Traffi…Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Comparison of parametric and …Book Review: Time Series Analysis: Forecasting and Control (1977)Book Review: Time Series Anal…Time Series Analysis Forecasting and Control. (1973)Time Series Analysis Forecast…Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks (2021)Exploiting dynamic spatio-tem…Urban flow prediction from spatiotemporal data using machine learning: A survey (2020)Urban flow prediction from sp…Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges (2019)Deep learning models for traf…Fitting autoregressive models for prediction (1969)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modelling Transport (2011)Survey on traffic prediction in smart cities (2018)Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction (2019)Introduction to Time Series and Forecasting (2002)How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey (2020)Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting (2020)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Bikesharing in Europe, the Americas, and Asia (2010)Driving with knowledge from the physical world (2011)DNN-based prediction model for spatio-temporal data (2016)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Automatic Time Series Forecasting: The forecast Package for R (2008)Forecasting principles and practice (2018)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)A Deep Gravity model for mobility flows generation (2021)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)Revealing the dynamic network structure of the Beck Depression Inventory-II (2014)The life course cube: A tool for studying lives (2018)Assessing the environmental impacts of renewable energy sources: A case study on air pollution and carbon emissions in China (2023)
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References

  • 1977Book Review: Time Series Analysis: Forecasting and Control19,399 cited
  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 2002Comparison of parametric and nonparametric models for traffic flow forecasting1,016 cited
  • 1973Time Series Analysis Forecasting and Control.995 cited
  • 2015Traffic prediction in a bike-sharing system366 cited
  • 2009Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models363 cited
  • 2014Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data346 cited
  • 2014Prediction of human emergency behavior and their mobility following large-scale disaster183 cited
  • 2016Latent Space Model for Road Networks to Predict Time-Varying Traffic179 cited
  • 2017Regions, Periods, Activities142 cited
  • 2015CityMomentum122 cited
  • 2015Predicting traffic volumes and estimating the effects of shocks in massive transportation systems97 cited
  • 2017PRED76 cited
  • 2015Next place predictions based on user mobility traces6 cited

Cited by

  • 2020Urban flow prediction from spatiotemporal data using machine learning: A survey

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311 cited
  • 2019Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges306 cited
  • 2021Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks276 cited