yingxue-zhang / TrafficGAN
The codes of paper "TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks".
☆13Updated 4 years ago
Related projects: ⓘ
- Continuous Trajectory Generation Based on Two-Stage GAN, AAAI 2023.☆38Updated last year
- Machine learning for transportation data imputation and prediction.☆40Updated 4 years ago
- [TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction☆14Updated 8 months ago
- Traffic Flow Prediction with Vehicle Trajectories☆59Updated 3 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆28Updated last year
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆27Updated last year
- ☆10Updated 3 years ago
- ☆81Updated 2 years ago
- ☆13Updated 10 months ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆21Updated last year
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆16Updated last year
- ☆46Updated 2 years ago
- Code for the paper "Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convol…☆13Updated 3 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆137Updated 2 months ago
- Deep Learning for Spatio-Temporal Data☆65Updated 7 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆86Updated 3 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆29Updated 4 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆48Updated last year
- The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"☆23Updated last year
- ☆21Updated 5 years ago
- Multi-sensor traffic flow forecasting.☆12Updated 2 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆16Updated 5 years ago
- Paper STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting☆16Updated 2 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆97Updated 2 months ago
- Codes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility☆42Updated 2 years ago
- Codes for RiskSeq-TKDE☆19Updated 3 years ago
- ☆12Updated 6 years ago
- ☆53Updated 2 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆63Updated 3 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆204Updated 3 years ago