Creation of synthetic driving event data using TimeGAN
Contains a manual for installing TensorFlow and related packages to run TimeGAN code for generating synthetic driving event data sequences.
Contains Python code to run TimeGAN.
Includes initial dataset used in synthetic data generation.
Includes a csv and a Excel file showing synthetic data created with the TimeGAN framework.
Contains Pyhton code for discriminative and predictive networks used for generated data evaluation and the code for creating PCA and T-SNE plots.