Railway Maintenance Management Using a Stochastic Geometrical Degradation Model
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 143, Issue 1
Abstract
Railway transportation has a significant advantage compared to other modes of transportation due to its high level of safety, significant capacity, and environmentally friendly nature, leading to an ever increasing expansion of passenger numbers. To maintain a high safety level and utilize the maximum capacity of this system, maintenance management of railroad is of crucial importance. The most costly part of railroad management is related to track maintenance, and the most crucial parameter of tracks is their geometry. The main objective of this research is to develop a railroad management system to both minimize track-maintenance costs and sustain high track geometrical quality. First, a track-quality database for a sufficient period of time is acquired. Having applied this database, a track degradation model is developed. Cost and improvement models associated with different track-maintenance actions are determined. Using degradation, cost, and improvement models, maintenance planning is conducted through optimum selection of tracks, appropriate time, and suitable maintenance actions in order to minimize cost and maximize the track geometrical quality. This selection is a combinatorial problem with a large number of feasible solutions, which cannot be solved using conventional algorithms. A heuristic method such as the genetic algorithm is proposed herein and utilized as a powerful tool to solve this problem.
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References
Andrade, A. R., and Teixeira, P. F. (2011). “Uncertainty in rail-track geometry degradation: Lisbon-Oporto line case study.” J. Transp. Eng., 137(3), 193–200.
Andrade, A. R., and Teixeira, P. F. (2012). “A Bayesian model to assess rail track geometry degradation through its life-cycle.” Res. Transp. Econ., 36(1), 1–8.
Caetano, L. F., and Teixeira, P. F. (2013). “Availability approach to optimizing railway track renewal operations.” J. Transp. Eng., 941–948.
Chang, H., Liu, R., and Wang, W. (2010). “Multistage linear prediction model of track quality index.” J. Transp. Eng.
El-Sibaie, M., and Zhang, Y.-J. (2004). “Objective track quality indices.” Transp. Res. Rec., 1863, 81–87.
Esveld, C. (2001). Modern railway track, MRT-Productions, Zaltbommel, Netherlands, 591–596.
Evovler [Computer software]. Palisade Software, Ithaca, NY.
Guler, H. (2013). “Prediction of railway track geometry deterioration using artificial neural networks: A case study for Turkish state railways.” Struct. Infrastruct. Eng., 10(5), 614–626.
Huang, S., Kang, Y., Wang, Z., and Zhao, D. (2010). “Track integration quality index.” Proc., 10th Int. Conf. of Chinese Transportation Professionals, ASCE, Reston, VA.
Liu, R.-K., Xu, P., Sun, Z.-Z., Zou, C., and Sun, Q.-X. (2015). “Establishment of track quality index standard recommendations for Beijing metro.” Discrete dynamics in nature and society, Hindawi Publishing, Cairo, Egypt.
Macchi, M., Garetti, M., Centrone, D., Fumagalli, L., and Pavirani, G. P. (2012). “Maintenance management of railway infrastructures based on reliability analysis.” Reliab. Eng. Syst. Saf., 104(1), 71–83.
Negnevitsky, M. (2005). Artificial intelligence: A guide to intelligent systems, Pearson Education, England.
Uzarski, D. R., Brown, D. G., Harris, R. W., and Plotkin, D. E. (1993). “Maintenance management of US Army railroad networks—The RAILER system: Detailed track inspection manual.” U.S. Army Corps of Engineers Research Laboratory (USACERL), Champaign, Urbana, IL, 18–23.
Vale, C., and Lurdes, S. M. (2013). “Stochastic model for the geometrical rail track degradation process in the Portuguese railway northern line.” Reliab. Eng. Syst. Saf., 116(1), 91–98.
Xu, Y. D., and Wu, J. C. (2005). “Analysis on development of track irregularities with linear forecast model.” J. Shijiazhuang Railway Inst., 6–9.
Zhang, T., Andrews, J., and Wang, R. (2013). “Optimal scheduling of track maintenance on a railway network.” Qual. Reliab. Eng. Int., 29(2), 285–297.
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©2016 American Society of Civil Engineers.
History
Received: Feb 24, 2016
Accepted: Aug 4, 2016
Published online: Nov 9, 2016
Published in print: Jan 1, 2017
Discussion open until: Apr 9, 2017
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