Correction: Kazemi et al. Toward Smart Railway Infrastructure Predictive and Optimised Maintenance Through Digital Twin (DT) System. Sensors 2026, 26, 2333

Key Points

• This research aims to develop a digital twin system for predictive maintenance in railway infrastructure.
• Developed a digital twin model for railway systems.
• Implemented predictive maintenance strategies using sensors for real-time data collection.
• Analyzed data to optimize maintenance schedules and reduce downtime.
• Increased maintenance efficiency by 30% with digital twin implementation.
• Reduced unexpected failures by 25% through predictive analytics integration.