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Paper Review

Traffic Prediction 관련 논문/데이터셋 정리

by mpv 2021. 1. 15.

github.com/aprbw/traffic_prediction

 

aprbw/traffic_prediction

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries). - aprbw/traffic_prediction

github.com

You can find the bibtex in traffic_prediction.bib (not complete yet)

modelcitationsvenuepublished datepapercodes

3D-TGCN 12 arXiv 3 Mar 19 3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting  
AGCRN 3 arXiv 6 Jul 20 Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting PyTorch
ARNN 0 Nat. Commun 11 Sep 20 Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation  
ASTGCN 63 AAAI 27 Jan 19 Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting Pytorch
CDSA 2 arXiv 23 May 19 CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation  
DCRNN 427 ICLR 30 Apr 18 DIFFUSION CONVOLUTIONAL RECURRENT NEURAL NETWORK: DATA-DRIVEN TRAFFIC FORECASTING tf
DCRNN-RIL 2 TrustCom/BigDataSE 31 Oct 19 Diffusion Convolutional Recurrent Neural Network with Rank Influence Learning for Traffic Forecasting  
DDP-GCN 1 arXiv 7 Feb 20 DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting  
DeepGLO 22 NeurIPS 8 Dec 19 Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting  
DSTGNN 0 arXiv 12 Mar 20 Dynamic Spatiotemporal Graph Neural Network with Tensor Network  
FC-GAGA 0 arXiv 30 Jul 20 FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting  
GaAN 126 UAI 6 Aug 18 GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs MXNet
GDRNN 0 NTU 16 Aug 20 Deep learning approaches for traffic prediction  
GMAN 20 AAAI 7 Feb 20 GMAN: A Graph Multi-Attention Network for Traffic Prediction tf
GRU 308 YAC 5 Jan 17 Using LSTM and GRU neural network methods for traffic flow prediction Keras
GTS 0 UCONN 3 Aug 20 End-to-End Structure-Aware Convolutional Networks on Graphs  
GWN 46 IJCAI 10 Aug 19 Graph WaveNet for Deep Spatial-Temporal Graph Modeling PyTorch
GWNN-LSTM 0 J. Phys. Conf. Ser. 20 Jun 20 Graph Wavelet Long Short-Term Memory Neural Network: A Novel Spatial-Temporal Network for Traffic Prediction.  
GWNV2 0 arXiv 11 Dec 19 Incrementally Improving Graph WaveNet Performance on Traffic Prediction PyTorch
H-STGCN 0 KDD 23 Aug 20 Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data  
ISTD-GCN 0 arXiv 10 Aug 20 ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting  
L-VGAE 0 arXiv 18 Oct 19 Decoupling feature propagation from the design of graph auto-encoders  
LSTM 39 TENCON 22 Nov 16 Traffic flow prediction with Long Short-Term Memory Networks (LSTMs)  
M2 1 J. AdHoc 1 Sep 20 A performance modeling and analysis of a novel vehicular traffic flow prediction system using a hybrid machine learning-based model  
MRA-BGCN 7 AAAI 7 Feb 20 Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting  
MRes-RGNN-G 20 AAAI 17 Jul 19 Gated Residual Recurrent Graph Neural Networks for Traffic Prediction  
MTGNN 7 arXiv 24 May 20 Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks  
PSN 4 T-ITS 17 Aug 18 Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework  
R-SSM 0 ICLR 13 Jan 20 Relational State-Space Model for Stochastic Multi-Object Systems  
RSTAG 3 IoT-J 19 Feb 20 Reinforced Spatiotemporal Attentive Graph Neural Networks for Traffic Forecasting  
SAE 1626 T-ITS 9 Sep 14 Traffic flow prediction with big data: a deep learning approach Keras
SBU-LSTM 157 UrbComp 14 Aug 17 Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction  
Seq2Seq Hybrid 48 KDD 19 Jul 18 Deep Sequence Learning with Auxiliary Information for Traffic Prediction tf
SGMN 1 J. TRC 20 Aug 20 Graph Markov network for traffic forecasting with missing data  
SLCNN 1 AAAI 7 Feb 20 Spatio-Temporal Graph Structure Learning for Traffic Forecasting  
ST-MetaNet 39 KDD 25 Jul 19 Urban traffic prediction from spatio-temporal data using deep meta learning  
ST-MetaNet+ 0 TKDE 19 May 20 Spatio-Temporal Meta Learning for Urban Traffic Prediction  
ST-TrafficNet 2 ELECGJ 9 Sep 20 ST-TrafficNet: A Spatial-Temporal Deep Learning Network for Traffic Forecasting  
ST-UNet 11 arXiv 13 Mar 19 ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling  
STDGI 3 ICLR 12 Apr 19 Spatio-Temporal Deep Graph Infomax  
STGAT 0 IEEE Access 22 Jul 20 STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting  
STGAT 0 IEEE Access 22 Jul 20 STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting  
STGCN 322 IJCAI 13 Jul 18 Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting tf
STGNN 4 WWW 20 Apr 20 Traffic Flow Prediction via Spatial Temporal Graph Neural Network  
STGRAT 6 arXiv 29 Nov 19 STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting  
STNN 0 T-ITS 16 Jul 20 STNN: A Spatio-Temporal Neural Network for Traffic Predictions  
STSeq2Seq 0 arXiv 6 Apr 20 Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency  
STSGCN 5 AAAI 7 Feb 20 Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting MXNet
TGC-LSTM 95 T-ITS 28 Nov 19 Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting  
TSE-SC 0 Trans-GIS 1 Jun 20 Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting  
0 arXiv 15 Jul 20 On the Inclusion of Spatial Information for Spatio-Temporal Neural Networks PyTorch
96 NeuCom 27 Nov 18 LSTM-based traffic flow prediction with missing data  

Things that would be in the table above if I have more time:

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