traffic-prediction
There are 79 repositories under traffic-prediction topic.
LibCity/Bigscity-LibCity
LibCity: An Open Library for Urban Spatial-temporal Data Mining
lixus7/Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
zhengchuanpan/GMAN
GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.
zhiyongc/Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
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).
aptx1231/Traffic-Prediction-Open-Code-Summary
Summary of open source code for deep learning models in the field of traffic prediction
Knowledge-Precipitation-Tribe/Spatio-Temporal-papers
This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.
BUAABIGSCity/PDFormer
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
JingqingZ/BaiduTraffic
This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).
LibCity/Bigscity-LibCity-PaperList
Paper list in traffic prediction field
LibCity/Bigscity-LibCity-Datasets
Traffic data processing tools in LibCity
Jimmy-7664/STD-MAE
[IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
xiepeng21/research_spatio-temporal-data-mining
A collection of research on spatio-temporal data mining
Coolgiserz/Awesome-Traffic-Prediction
Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
NickHan-cs/Spatio-Temporal-Data-Mining-Survey
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
didi/heteta
HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival
wengwenchao123/DDGCRN
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
JonnoFTW/traffic-prediction
Predict traffic flow with LSTM. For experimental purposes only, unsupported!
aptx1231/NYC-Dataset
Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data
HKUDS/STExplainer
[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
YihongT/DASTNet
[CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
LMissher/PatchSTG
[SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
wengwenchao123/RGDAN
[Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction
odinhg/Graph-Neural-Networks-INF367A
Traffic prediction with graph neural network using PyTorch Geometric. The implementation uses the MetaLayer class to build the GNN which allows for separate edge, node and global models.
HKUDS/CL4ST
[CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"
Nupurgopali/Traffic-Prediction-using-SVR-and-RFR
We have used Support Vector Regression and Random Forest Regression to predict traffic or congestion.
zouguojian/Personal-Accepted-Research
Welcome to quote our published papers, and the codes have been uploaded.
HKUDS/EasyST
[CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"
TrafficGCN/ST-GCN
Repository for advanced traffic forecasting models integrating GCN, LSTM/Bi-LSTM, and attention mechanisms for improved accuracy, including weather data processing.
wengwenchao123/PM-DMNet
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
ant-agafonov/stgcn-lstm
Spatial-Temporal Graph Convolutional Neural Network with LSTM layers
AliAmini93/Post-Services-Forecasting
In 2021, a precise forecast of Iran Post's 2021-2022 income was achieved using ARIMA, with only a 1.5\% error. This approach was subsequently extended to estimate the income and traffic for 2022-2023.
luokn/ms-gat
Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction
wengwenchao123/PDG2Seq
[Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction
WooheonHong/StemGNN
Reproduce - Traffic_prediction - StemGNN(NeurIPS20)
xueyan-dut/Deep-Learning-on-Traffic-Prediction
Repository for Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions<https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9352246>