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Study on the Maintenance Cost of Railway Infrastructure Using Line Classification and TMV Data

선로등급 및 검측차 검측정보를 고려한 철도시설 유지보수비용 산정에 관한 연구

  • Kim, In Kyum (Advanced High-speed Railroad Systems Research Division, Korea Railroad Research Institute) ;
  • Lee, Jun S. (Advanced High-speed Railroad Systems Research Division, Korea Railroad Research Institute) ;
  • Choi, Il Yoon (Advanced High-speed Railroad Systems Research Division, Korea Railroad Research Institute) ;
  • Lee, Hoo Seok (Advanced High-speed Railroad Systems Research Division, Korea Railroad Research Institute)
  • Received : 2017.01.25
  • Accepted : 2017.03.08
  • Published : 2017.04.30

Abstract

During the feasibility study of new rail lines, maintenance cost of railway infrastructure has mostly been estimated based on the track length and on simplified parameters; however, the estimation reliability can be improved by employing the correction factor from UIC 715, as well as the line classification in UIC 714. The correlations between maintenance cost and various parameters such as weighted track length based on line classification, radius of curvature, gradient and worn -out rate have been analyzed according to the case studies. Prediction of the maintenance cost has been carried out using the cost data, which were representative of the whole cost data; as a result, it was demonstrated that a cost model based on the line classification and the correction factor was more reliable than the existing models. Furthermore, possibilities of using data from both the track measurement vehicle and from the maintenance information system, which are under development, have been investigated and, based on this investigation, a combined cost model using line classification, radius of curvature, gradient and worn-out rate, among other factors, will be proposed in the near future.

Acknowledgement

Grant : 철도인프라의 유지보수를 위한 고속 종합검측시스템 기술개발

Supported by : 국토교통과학기술진흥원

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