Railway systems have become increasingly complex over the years, with rising operational loads and increasing maintenance costs. Strategies for maintenance planning remain insufficient, leading to inefficiencies and increased risks. To resolve this, predictive maintenance strategies that use in-service trains equipped with low-cost sensors offer a promising solution for continuous, real-time track condition monitoring.