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Bike flow prediction with multi-graph convolutional networks
7 references·11 citing·28 second hop
Bike flow prediction with multi-graph convolutional networks (2018)Bike flow prediction with multi-graph con…Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Spatio-Temporal Graph Convolu…Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Diffusion Convolutional Recur…Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…Dynamic cluster-based over-demand prediction in bike sharing systems (2016)Dynamic cluster-based over-de…Traffic prediction in a bike-sharing system (2015)Traffic prediction in a bike-…Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network (2015)Predicting Short-Term Traffic…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Traffic prediction using arti…Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method (2021)Short-term origin-destination…Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning (2021)Dynamic graph convolutional n…Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting (2021)Dynamic and Multi-faceted Spa…DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (2021)DL-Traff: Survey and Benchmar…Urban flow prediction from spatiotemporal data using machine learning: A survey (2020)Urban flow prediction from sp…Topological Graph Convolutional Network-Based Urban Traffic Flow and Density Prediction (2020)Topological Graph Convolution…Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction (2020)Temporal Multi-Graph Convolut…Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network (2020)Predicting origin-destination…How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey (2020)How to Build a Graph-Based De…GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction (2019)GSTNet: Global Spatial-Tempor…Dynamic prediction of traffic volume through Kalman filtering theory (1984)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)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)Prediction of human emergency behavior and their mobility following large-scale disaster (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Smart Cities: A Survey on Data Management, Security, and Enabling Technologies (2017)A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method (2021)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)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)Time Series Analysis: Forecasting and Control. (1978)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)UrbanGPT: Spatio-Temporal Large Language Models (2024)Urban traffic flow prediction techniques: A review (2022)Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction (2023)The smart future for sustainable development: Artificial intelligence solutions for sustainable urbanization (2024)
this work references cited by second hop

References

  • 2018Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting6,048 cited
  • 2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting3,639 cited
  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 2015Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network540 cited
  • 2015Traffic prediction in a bike-sharing system366 cited
  • 2016Dynamic cluster-based over-demand prediction in bike sharing systems204 cited

Cited by

  • 2021Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting314 cited
  • 2020Urban flow prediction from spatiotemporal data using machine learning: A survey311 cited
  • 2020Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction305 cited
  • 2022Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities305 cited
  • 2020How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey298 cited
  • 2020Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network239 cited

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2021
Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning
237 cited
  • 2020Topological Graph Convolutional Network-Based Urban Traffic Flow and Density Prediction203 cited
  • 2021DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction194 cited
  • 2021Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method187 cited
  • 2019GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction184 cited