Charles117 / resilience_shenzhen
The data and codes corresponding to the paper "Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach"
☆18Updated 4 years ago
Related projects: ⓘ
- Traffic Flow Prediction with Vehicle Trajectories☆59Updated 3 years ago
- Taxi Origin-Destination Demand Prediction☆54Updated 4 years ago
- ☆81Updated 2 years ago
- 交通·未来系列线上公益学术活动PPT☆109Updated 2 years ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆125Updated last year
- Transportation data online prediction☆45Updated 3 years ago
- Reconstruction of DeepST☆93Updated 4 years ago
- AAAIA2020-Accident Forecasting Experiments Setups☆40Updated 3 years ago
- Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter☆12Updated 4 years ago
- ☆42Updated 4 years ago
- Graph Markov Network for Traffic Forecasting with Missing Data☆27Updated 4 years ago
- Map-Constrained Trajectory Recovery (KDD'21)☆50Updated 2 years ago
- ☆17Updated this week
- “华为云杯”2020深圳开放数据应用创新大赛 ·深圳北站周边交通拥堵指数预测代码方案☆15Updated 3 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 4 years ago
- Codes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility☆42Updated 2 years ago
- ☆48Updated this week
- STL:Online Detection of Taxis Trajectory Anomaly based on Spatial-Temporal Laws☆26Updated 5 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆194Updated last year
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆86Updated 3 years ago
- ☆68Updated 7 months ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆29Updated 4 years ago
- Attentive Traffic Flow Machines☆56Updated 3 years ago
- public code and data☆26Updated last year
- Deep Learning for Spatio-Temporal Data☆65Updated 7 years ago
- ☆14Updated 2 months ago
- The task is to restate a thesis and redo the experiment following the instructions in the paper.☆69Updated 3 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆48Updated last year
- Codes for AAAI 2019 DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis☆63Updated 4 years ago
- Codes for RiskSeq-TKDE☆19Updated 3 years ago