zhiyongc / Seattle-Loop-Data
☆87Updated 2 years ago
Alternatives and similar repositories for Seattle-Loop-Data:
Users that are interested in Seattle-Loop-Data are comparing it to the libraries listed below
- Attentive Traffic Flow Machines☆58Updated 4 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆68Updated 4 years ago
- [AAAI 2019] DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis☆66Updated 4 years ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆138Updated 3 months ago
- Taxi Origin-Destination Demand Prediction☆53Updated 4 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆41Updated 4 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆219Updated 4 years ago
- AAAIA2020-Accident Forecasting Experiments Setups☆41Updated 4 years ago
- Reconstruction of DeepST☆103Updated 5 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 5 years ago
- Code snippets of ST-ResNet by PyTorch☆64Updated 5 years ago
- Deep Learning for Spatio-Temporal Data☆67Updated 8 years ago
- Transportation data online prediction☆48Updated 3 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆90Updated 3 years ago
- The task is to restate a thesis and redo the experiment following the instructions in the paper.☆70Updated 4 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆68Updated 4 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated 2 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆200Updated last year
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆31Updated last year
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆55Updated 2 years ago
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆69Updated 2 years ago
- ☆48Updated 5 years ago
- ☆49Updated 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…☆287Updated last year
- [CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)☆54Updated 2 years ago
- ☆117Updated last year
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆93Updated 2 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆228Updated last year
- DMVST-Net for AAAI 2018☆108Updated 4 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆17Updated 2 years ago