Prediction model for the maintenance of rail infrastructure in Java
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/66/e3sconf_iccim2023_03004.pdf |
| _version_ | 1797673553575804928 |
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| author | Yudariansyah Hadi Ismiyati Narendra Alfa |
| author_facet | Yudariansyah Hadi Ismiyati Narendra Alfa |
| author_sort | Yudariansyah Hadi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T21:46:02Z |
| format | Article |
| id | doaj.art-ded88c235f624fd59e82fa1922a139fe |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-11T21:46:02Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-ded88c235f624fd59e82fa1922a139fe2023-09-26T10:12:13ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014290300410.1051/e3sconf/202342903004e3sconf_iccim2023_03004Prediction model for the maintenance of rail infrastructure in JavaYudariansyah Hadi0Ismiyati1Narendra Alfa2Doctoral Program of Civil Engineering, Faculty of Engineering, Universitas DiponegoroDepartement of Civil Engineering, Faculty of Engineering, Universitas DiponegoroDepartement of Civil Engineering, Faculty of Engineering, Universitas Negeri SemarangMaintenance 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/66/e3sconf_iccim2023_03004.pdf |
| spellingShingle | Yudariansyah Hadi Ismiyati Narendra Alfa Prediction model for the maintenance of rail infrastructure in Java E3S Web of Conferences |
| title | Prediction model for the maintenance of rail infrastructure in Java |
| title_full | Prediction model for the maintenance of rail infrastructure in Java |
| title_fullStr | Prediction model for the maintenance of rail infrastructure in Java |
| title_full_unstemmed | Prediction model for the maintenance of rail infrastructure in Java |
| title_short | Prediction model for the maintenance of rail infrastructure in Java |
| title_sort | prediction model for the maintenance of rail infrastructure in java |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/66/e3sconf_iccim2023_03004.pdf |
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