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Predicting citywide crowd flows using deep spatio-temporal residual networks
13 references·8 citing·34 second hop
Predicting citywide crowd flows using deep spatio-temporal residual networks (2018)Predicting citywide crowd flows using dee…Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…DNN-based prediction model for spatio-temporal data (2016)DNN-based prediction model fo…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…Methodologies for Cross-Domain Data Fusion: An Overview (2015)Methodologies for Cross-Domai…CityMomentum (2015)CityMomentumPrediction of human emergency behavior and their mobility following large-scale disaster (2014)Prediction of human emergency…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…Neural network forecasting for seasonal and trend time series (2003)Neural network forecasting fo…Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Comparison of parametric and …Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)Traffic Flow Forecasting: Com…Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis: Forecas…Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis, Forecas…Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction (2021)Exploiting dynamic spatio-tem…Urban flow prediction from spatiotemporal data using machine learning: A survey (2020)Urban flow prediction from sp…Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction (2020)Temporal Multi-Graph Convolut…Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting (2020)Spatial temporal incidence dy…Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting (2020)Multi-Range Attentive Bicompo…Gated Residual Recurrent Graph Neural Networks for Traffic Prediction (2019)Gated Residual Recurrent Grap…Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting (2019)Deep Spatial–Temporal 3D Conv…Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction (2019)Deep Irregular Convolutional …Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Data fusion (2009)Discovering regions of different functions in a city using human mobility and POIs (2012)Machine Learning With Big Data: Challenges and Approaches (2017)A survey of data fusion in smart city applications (2019)Book Review: Time Series Analysis: Forecasting and Control (1977)Trends and random walks in macroeconmic time series (1982)Forecasting with artificial neural networks: (1998)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Forecasting: theory and practice (2022)Dynamic prediction of traffic volume through Kalman filtering theory (1984)INTEGRATED APPROACH TO VEHICLE ROUTING AND CONGESTION PREDICTION FOR REAL-TIME DRIVER GUIDANCE (1993)A Bayesian Network Approach to Traffic Flow Forecasting (2006)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)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Introduction to Time Series and Forecasting (2002)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)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)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Principles of Forecasting (2001)25 years of time series forecasting (2006)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends? (1980)Understanding spurious regressions in econometrics (1986)
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  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 2002Comparison of parametric and nonparametric models for traffic flow forecasting1,016 cited
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  • 2016DNN-based prediction model for spatio-temporal data739 cited
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  • 2015Traffic prediction in a bike-sharing system366 cited
  • 2014Prediction of human emergency behavior and their mobility following large-scale disaster183 cited
  • 2015CityMomentum122 cited
  • 2015Predicting traffic volumes and estimating the effects of shocks in massive transportation systems97 cited

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  • 2019Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting461 cited
  • 2021Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction

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449 cited
  • 2020Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting347 cited
  • 2020Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting327 cited
  • 2020Urban flow prediction from spatiotemporal data using machine learning: A survey311 cited
  • 2020Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction305 cited
  • 2019Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction301 cited
  • 2019Gated Residual Recurrent Graph Neural Networks for Traffic Prediction260 cited