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Predicting citywide crowd flows using deep spatio-temporal residual networks · Study

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ArticlePredicting citywide crowd flows using deep spatio-temporal residual networks

Junbo Zhang2018

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Articlebronze2018

Predicting citywide crowd flows using deep spatio-temporal residual networks

Junbo Zhang · Yu Zheng · Dekang Qi · Ruiyuan Li · Xiuwen Yi · Tianrui Li

534 citations·0/0 files stored·Artificial Intelligence

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Traffic Prediction and Management Techniques Urban Design and Spatial Analysis Human Mobility and Location-Based Analysis

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References

1978Time Series Analysis: Forecasting and Control.2003Time series forecasting using a hybrid ARIMA and neural network model 1971Time Series Analysis, Forecasting and Control.2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction 2002Comparison of parametric and nonparametric models for traffic flow forecasting 2003Neural network forecasting for seasonal and trend time series 2016DNN-based prediction model for spatio-temporal data 1997Traffic Flow Forecasting: Comparison of Modeling Approaches

Cited by

2019Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting 2021Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction 2020Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting 2020Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting 2020Urban flow prediction from spatiotemporal data using machine learning: A survey

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2019Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learningarticle · 6 shared references 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Predictionother · 5 shared references 2014Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantificationarticle · 4 shared references 2011Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networksarticle · 4 shared references 2020Spatial temporal incidence dynamic graph neural networks for traffic flow forecastingarticle · 4 shared references 2018Deriving Real-time City Crowd Flows by Heterogeneous Big Urban Dataother · 4 shared references

Details

Year2018

Typearticle

Published2018-03-19

VenueArtificial Intelligence

ISSN-L0004-3702

Languageen

Citations534

Files0 public / 0

ShelfTraffic Prediction and Management Techniques

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doi10.1016/j.artint.2018.03.002

openalex_workW2964319113

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2020

Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction

2019Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction

2019Gated Residual Recurrent Graph Neural Networks for Traffic Prediction