This is the final project of the course 10-617 Intermediate Deep Learning at Carnegie Mellon University. It studies the use of Deep Learning model to estimate the travelers' utility function in route choice models using traffic count data. The analyses were performed using synthetic data and the models were implemented with PyTorch primarily.
- Clone the repository
- Create virtual environment (e.g. "venv")
python3 -m venv venv - Activate virtual environment
source venv/bin/activate - Install the development dependencies:
pip install -r requirements.txt - Run
python3 main.py
