This paper presents a data-driven approach to address the state of good repair (SGR) in
small urban and rural transit systems in the US by predicting the service life of rolling stock …

A predictive model is developed that uses a machine learning algorithm to predict the
service life of transit vehicles and calculates backlog and yearly replacement costs to …

Rail transit agencies in Korea have been struggling to set up a performance-based rail
facility maintenance plan because there are no formal definition and decision criteria for …

현재 국내 철도시설 운영기관은 노후 시설물 판단을 위한 명확한 정의와 시설물 보수/개량
우선순위 산정 방법이 정립되지 않아 성능중심 유지관리계획 수립에 어려움을 겪고 있다 …

Achieving and maintaining public transportation rolling stocks in a state of good repair is
very crucial to provide safe and reliable services to riders. Besides, transit agencies who …

The present approach relates to an automated approach for verifying sufficiency of and/or
quality of a service operation performed on an asset by a field engineer. In one …