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Data · dataset · 2025

Dataset for Machine Learning Training of Road Class Recognition

Listed in Teesside University Research Data Repository

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.

Description

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.

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Where it is published

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