MTNet, a deep generative model for trajectory modeling and utilization.
We present the core source code of MTNet in the zip file.
The audience can directly run train.py to see a trajectory data modeling demo on the Chengdu road network.
The learned model can be used to generate representative trajectories by calling the sampling method of MTNet.
Directory layout
.
├── train # MTNet model training demo entrance
├── mtnet # MTNet model structure and details
├── data # Data files, e.g., roads and trajectories
├── util/config # Global config settings
├── util/mtnet.yaml # MTNet model hyper-parameters
├── util/dataloader # Data loader and preprocessing
├── utils/params # The learned MTNet model
└── utils/others # Tools and utilities