yingxue-zhang / TrafficGAN
The codes of paper "TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks".
☆14Updated 4 years ago
Alternatives and similar repositories for TrafficGAN:
Users that are interested in TrafficGAN are comparing it to the libraries listed below
- Machine learning for transportation data imputation and prediction.☆40Updated 5 years ago
- ☆89Updated 2 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆219Updated 4 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆69Updated 4 years ago
- ☆10Updated 3 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆30Updated last year
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆70Updated 4 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated 2 years ago
- Code for the paper "Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convol…☆15Updated 4 years ago
- ☆49Updated 2 years ago
- ☆22Updated 6 years ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆139Updated 4 months ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆228Updated 5 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆41Updated 4 years ago
- ☆64Updated 3 years ago
- Deep Learning for Spatio-Temporal Data☆67Updated 8 years ago
- Continuous Trajectory Generation Based on Two-Stage GAN, AAAI 2023.☆42Updated last year
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆230Updated last year
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆30Updated 4 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆143Updated 4 years ago
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆70Updated 2 years ago
- Paper STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting☆17Updated 3 years ago
- [This repo will NOT be maintained until further notice. Sorry for the inconvencience.] Baselines for Traffic Flow Prediction. (HA, ARIMA,…☆20Updated 3 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆18Updated 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…☆288Updated last year
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆162Updated 2 years ago
- PeMS Datasets☆33Updated last year
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆176Updated 4 months ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆134Updated last month
- Code snippets of ST-ResNet by PyTorch☆65Updated 5 years ago