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