Prediction model for the maintenance of rail infrastructure in Java

¹ Doctoral Program of Civil Engineering, Faculty of Engineering, Universitas Diponegoro, Jl. Hayam Wuruk No. 5-7, Semarang 50241, Indonesia
² Departement of Civil Engineering, Faculty of Engineering, Universitas Diponegoro, Jl. Hayam Wuruk No. 5-7, Semarang 50241, Indonesia
³ Departement of Civil Engineering, Faculty of Engineering, Universitas Negeri Semarang, Kampus Sekaran Gunung Pati, Kota Semarang 50229, Indonesia

^* Corresponding author: hadiyudariansyahS3@students.undip.ac.id

Abstract

Maintenance is the most prolonged phase after constructing a railway track is completed and operated. The initial indication of the need for railway track maintenance can be seen from the track quality index (TQI) value. Maintenance of railway tracks can be based on the TQI data category, which is a track superelevation, leveling, lining, and gauge width with TQI categories ranging from very good, good, fair, and poor. In the existing condition, only one-track measurement train, the EM-120, is owned by PT Kereta Api Indonesia (Persero) operates on the island of Java, so there are still railway tracks that still need to be measured by track measurement trains and require a TQI value. Implementing the TQI categorization is necessary for maintenance; hence a comprehensive study is essential to monitor and track the advancement of the research. This paper will map the literature on railway track maintenance, TQI, and prediction models. The literature database was taken from Google Scholar and analyzed using the VOS viewer tool with a mapping of previous research. The results of this research are highly useful in understanding the current development of railway track maintenance research; however, a study has yet to be identified that predicts the TQI category for railway tracks that have not been surveyed by track measurement trains.