SyntheticDrivingData

Creation of synthetic driving event data using TimeGAN

Appendices directory

Contains a manual for installing TensorFlow and related packages to run TimeGAN code for generating synthetic driving event data sequences.

TimeGANProject directory

Contains Python code to run TimeGAN.

data subdirectory

Includes initial dataset used in synthetic data generation.

synthetic_data subdirectory

Includes a csv and a Excel file showing synthetic data created with the TimeGAN framework.

metrics subdirectory

Contains Pyhton code for discriminative and predictive networks used for generated data evaluation and the code for creating PCA and T-SNE plots.