mhsamavatian / DAP
Deep model for accident risk prediction over sparse traffic data
☆43Updated 4 years ago
Alternatives and similar repositories for DAP:
Users that are interested in DAP are comparing it to the libraries listed below
- ☆86Updated 2 years ago
- Attentive Traffic Flow Machines☆58Updated 4 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆67Updated 3 years ago
- Transportation data online prediction☆47Updated 3 years ago
- [AAAI 2019] DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis☆66Updated 4 years ago
- Reconstruction of DeepST☆101Updated 5 years ago
- Taxi Origin-Destination Demand Prediction☆53Updated 4 years ago
- ☆14Updated 2 years ago
- research survey of traffic prediction☆25Updated 7 years ago
- Code snippets of ST-ResNet by PyTorch☆61Updated 5 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆29Updated 4 years ago
- 交通·未来系列线上公益学术活动PPT☆114Updated 2 years ago
- Using to predict the highway traffic speed☆30Updated 10 months ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆53Updated 2 years ago
- AAAIA2020-Accident Forecasting Experiments Setups☆41Updated 4 years ago
- DMVST-Net for AAAI 2018☆107Updated 3 years ago
- Inferring transportation modes from GPS trajectories using a Convolutional Neural Network☆47Updated 5 years ago
- Deep Learning for Spatio-Temporal Data☆67Updated 8 years ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆133Updated last month
- A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081☆108Updated 3 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated 2 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆17Updated 2 years ago
- A Two-Stage Gan architecture to generate trajectory conditioned on maps information.☆40Updated 2 years ago
- Map-Constrained Trajectory Recovery (KDD'21)☆55Updated 2 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆89Updated 3 years ago
- ST-SiameseNet (KDD'20)☆22Updated 4 years ago
- Implementation of dynamic origin-destination demand estimation☆20Updated 6 years ago
- 《交通大数据理论与方法》☆161Updated 2 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆40Updated 4 years ago
- ☆44Updated 2 years ago