Enhancing Railway Safety with Advanced Track Monitoring to Uphold Vigilance and Elevate Operational Standards

Abstract- -In order to guarantee smooth passenger and freight movement, railway safety is essential. Conventional track inspection techniques are reactive and time-consuming, which increases operational inefficiencies and safety hazards. This study offers an advanced track monitoring system incorporating Internet of Things (IoT) sensors, artificial intelligence (AI)-based predictive analytics, and real-time surveillance technologies. Railway operators can reduce derailments, improve maintenance schedules, and early recognize track anomalies by utilizing these advancements. By lowering human error, boosting productivity, and speeding up reaction times to possible threats, the suggested approach raises operational standards. This paper presents a framework for intelligent railway safety monitoring, talks about recent technology developments, and gives an overview of challenges facing railway monitoring today.

DOI: /10.61463/ijset.vol.12.issue1.600