Using machine learning to correlate brake temperature, hydraulic pressure, and rotor slip for dynamic maintenance scheduling.
Fixed-interval fleet maintenance either replaces brake components too early (wasting money) or too late (risking roadside failure). V2XTelemetry monitors cumulative kinetic energy dissipation across thousands of brake events, predicting exact pad replacement windows with 96% accuracy.