Traffic Prediction 관련 논문/데이터셋 정리

github.com/aprbw/traffic_prediction

aprbw/traffic_prediction

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: