Tamping and Renewal Optimization of Ballasted Track Using Track Measurement Data and Genetic Algorithm
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 144, Issue 3
Abstract
Although reliability centered maintenance (RCM) has been used widely in the maintenance and renewal (M&R) of railway infrastructures, M&R methods and maintenance frequencies still require considerable study to obtain information on optimum decisions. Recently, various attempts have been made to optimize the maintenance works in railway engineering, although a decision support system on selecting the maintenance or renewal works has not been suggested distinctly. Therefore, a genetic algorithm on the basis of the nondominated sorting method (NSGA) was used in this study to optimize the biobjective functions on M&R interventions and costs. The results showed that the optimum frequency of M&R could be determined using the NSGA method with various constraints. Moreover, field application of the suggested method also was considered. Future work will be concentrated on the systematic approach of the decision support model with RCM and the enterprise resource planning (ERP) system of the infrastructure manager (IM).
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Acknowledgments
This research was funded and supported by the Ministry of Land, Infrastructure, and Transport, South Korea, under a grant of entitled, “Development of the high speed track measurement system for railway maintenance.”
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Information
Published In
Journal of Transportation Engineering, Part A: Systems
Volume 144 • Issue 3 • March 2018
Copyright
©2017 American Society of Civil Engineers.
History
Received: Jun 22, 2017
Accepted: Sep 5, 2017
Published online: Dec 21, 2017
Published in print: Mar 1, 2018
Discussion open until: May 21, 2018
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