Abstract It is imperative for railway managers to have an accurate grasp of the track health to optimize the scheduling of maintenance and replacement, and reasonably allocate the maintenance and replacement resources. In this paper, based on the gridding management theory, a railway track is divided into several adjacent segments of the same specific length. A condition evaluation index system and a track grid health index are established for the divided segments. The track grid health evaluation framework is proposed for calculating the track grid health index. The proposed framework was verified with the track performance data from Lanzhou–Xinjiang railway line. Our evaluation is demonstrated that the proposed track grid health index outperforms the track quality index and track quality rank, which are the traditional condition indicators for evaluating track quality in China’s railway management.
Grid-Based Framework for Railway Track Health Evaluation
2017-07-12
15 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Grid-Based Framework for Railway Track Health Evaluation
British Library Conference Proceedings | 2018
|Classification-learning-based framework for predicting railway track irregularities
SAGE Publications | 2016
|Classification-learning-based framework for predicting railway track irregularities
Online Contents | 2016
|Development of track component health indices using image-based railway track inspection data
SAGE Publications | 2024
|