Driver-Profile-Classification

Driver Profile Classification thesis repository. This project aims to develop a system that takes advantage of the use of machine learning techniques to establish a driving profile based on trips data obtained in a non-intrusive way.

Pre-Requisites

Working Python 3 installation (Python version = 3.7.9), with packages presented in the file requirements.txt

Running the Scripts

1. Create virtual environment.
   • On Windows, use "python -m venv .venv".
2. Activate virtual environment.
   • On Windows, use "cd .venv/Scripts".
   • On Windows, use "activate" to activate the virtual environment (make sure you are in the ".venv/Scripts" directory).
   • On Windows, navigate back to tests directory "cd ../..".
3. Install requirements.
   • On Windows, use "pip install -r requirements.txt".
4. Try out the diferent sripts.
   • Use the following command "python name_of_the_script.py".
5. Press enter to run the script.

Notes

1. It is necessary to have an API token in order to run the script preprocess/a_idreams_pull_trips.py.
2. Because the events are private, they have not been uploaded to the repository so the script preprocess/b_construct_dataset.py does not run.
3. Only one dataset is available to make sure the repository is not overloaded with datasets.