jwwthu / DL4TrafficLinks
This is the repository for the collection of Deep Learning for Traffic Prediction Problems.
☆232Updated last year
Alternatives and similar repositories for DL4Traffic
Users that are interested in DL4Traffic are comparing it to the libraries listed below
Sorting:
- Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023☆305Updated 4 years ago
- Summary of open source code for deep learning models in the field of traffic prediction☆264Updated 2 years ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆295Updated last year
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆222Updated 4 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆132Updated last year
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆230Updated 4 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆146Updated 4 years ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆142Updated 6 months ago
- A collection of research on spatio-temporal data mining☆154Updated 5 months ago
- Paper list in traffic prediction field☆224Updated last year
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆182Updated 7 months ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆93Updated 4 years ago
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…☆245Updated last year
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆138Updated 3 months ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆249Updated last year
- ☆66Updated 3 years ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆177Updated 2 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆71Updated 4 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆26Updated 2 years ago
- Traffic data processing tools in LibCity☆212Updated 2 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆50Updated 2 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆235Updated 5 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆33Updated 2 years ago
- When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time☆38Updated 2 months ago
- ☆78Updated last year
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆403Updated 5 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆57Updated 2 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 5 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆167Updated 4 years ago
- ☆92Updated 3 years ago