Installation of Railroad Wayside Defect Detectors: Multiperiod Design
Railroads use wayside inspection technologies to monitor the health of passing railcars. Because of resource constraints, an efficient and feasible installation plan should be integrated into a multiperiod decision–support framework to derive the maximum benefit over a long planning horizon. A large-scale network optimization framework was proposed to solve this problem. The problem was formulated into two equivalent mathematical models: a maximum coverage model and a K-median model. A set of solution algorithms including a greedy heuristic, a 1-interchange heuristic, and a Lagrangian relaxation method were developed for these models, and their computational performances were investigated. A numerical case study was developed to illustrate the use of these models in real-world settings, and insights into empirical applications of these models were drawn.
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- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://www.trb.org/Main/Blurbs/166818.aspx
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Authors:
- Peng, Fan
- Li, Xiaopeng
- Ouyang, Yanfeng
- Publication Date: 2011
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 148-154
- Monograph Title: Railways 2011, Including 2011 Thomas B. Deen Distinguished Lecture
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2261
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Algorithms; Case studies; Decision support systems; Defects; Flaw detection; Inspection; Mathematical models; Optimization; Railroad cars
- Uncontrolled Terms: Wayside detection systems
- Subject Areas: Maintenance and Preservation; Railroads; Vehicles and Equipment; I95: Vehicle Inspection;
Filing Info
- Accession Number: 01340873
- Record Type: Publication
- ISBN: 9780309222969
- Report/Paper Numbers: 11-0244
- Files: TRIS, TRB
- Created Date: May 25 2011 2:33PM