urbanmobility / Awesome-Urban-Mobility-Prediction
This is a list of useful information about urban mobility prediction. Related papers, datasets and codes are included.
☆21Updated 2 years ago
Alternatives and similar repositories for Awesome-Urban-Mobility-Prediction:
Users that are interested in Awesome-Urban-Mobility-Prediction are comparing it to the libraries listed below
- PyTorch implementation of the paper-"Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network"☆9Updated last year
- Relevant research papers focusing on human mobility modeling and next place prediction☆29Updated 5 years ago
- [KDD 2020 (AI for COVID-19)] Learning to Simulate Human Mobility☆47Updated 3 years ago
- ☆8Updated 3 years ago
- [TRC] Context-aware next location prediction☆43Updated last year
- open traffic datasets☆28Updated 6 years ago
- Implementation code for the Time-Aware Location Embedding (TALE) model, proposed in the TKDE paper "Pre-Training Time-Aware Location Embe…☆16Updated 6 months ago
- [TITS 2024] Activity-aware human mobility prediction with hierarchical graph attention recurrent network.☆20Updated 2 months ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆30Updated last year
- ☆89Updated 2 years ago
- ☆136Updated 2 years ago
- The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques☆28Updated last year
- When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time☆37Updated last year
- Traffic Flow Prediction with Vehicle Trajectories☆68Updated 4 years ago
- Taxi Origin-Destination Demand Prediction☆53Updated 4 years ago
- Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"☆20Updated 2 years ago
- The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"☆32Updated 5 years ago
- Source Codes for KDD'19 Paper - DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events☆16Updated 3 years ago
- WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster☆17Updated 2 years ago
- ☆11Updated last year
- [AAAI 2019] DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis☆66Updated 4 years ago
- LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection☆74Updated 7 months ago
- ☆18Updated 5 months ago
- ☆44Updated 2 years ago
- ☆19Updated 4 years ago
- Implementation code for the model Diffusion-based Origin-destination Travel Time Estimation (DOT), proposed in the SIGMOD 2024 paper "Ori…☆16Updated 6 months ago
- [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)☆20Updated 3 years ago
- Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs☆22Updated last year
- The official implementation of "Activity Trajectory Generation via Modeling Spatiotemporal Dynamics"☆32Updated last year
- [SIGSPATIAL '22] Next location prediction considering travel mode☆18Updated last year