Dataset for Machine Learning Training of Road Class Recognition

This data contain the files for training ML algorithms in order to recognize a road ISO class.

- Ground_Profile contains the .mat vector of ground, containing shuffles parts of road classes A,B and C.
- Vehicle_Data contains the vehicle data used in simulations.
- Training_Data is the dataset used for ML training. Each column has its name on the .mat table file. In road class, Class A =1, Class B=2 and Class C =3.
- Machine Learning Classification Results contain the results for the trained algorithms for different classes and velocity, besides the F1-score calculation.
- Vibration Reduction Results is the RMS and ISO acceleration values of the proposed approach, comparing to traditional benchmarks.