TECHNICAL PAPERS
Sep 1, 2007

Analysis of Maintenance Policies for Inductive Loop Detection Systems

Publication: Journal of Infrastructure Systems
Volume 13, Issue 3

Abstract

Maintaining inductive loop detection (ILD) systems in good conditions is a requirement for systems to perform the functions for which they are designed. The objective of this study was to evaluate the typical maintenance policies for ILD so that guidance regarding appropriate maintenance policies could be developed. To address the interaction between the maintenance activities and deterioration of the system components, a microscopic simulation model was developed. Three maintenance policies and two ILD systems with different system compositions were evaluated based on system performance measures such as system availability, costs, working load between crews, and the ratio between cost and availability. The relationships of these system performance measures were compared with maintenance crew size. The results indicated that the characteristics of deterioration and the composition of system components play a major role in determining optimal maintenance policies. The simulation results implied that different maintenance policies should be adopted for the two ILD systems for which different system compositions were simulated in this study.

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Information

Published In

Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 13Issue 3September 2007
Pages: 215 - 224

History

Received: Mar 13, 2006
Accepted: Oct 9, 2006
Published online: Sep 1, 2007
Published in print: Sep 2007

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Authors

Affiliations

Jun Yao
719 Waterford Pl., Atlanta, GA, 30342. E-mail: [email protected]
Hualiang Teng
Assistant Professor, Dept. of Civil and Environmental Engineering, Howard R. Hughes College of Engineering, Univ. of Nevada, Las Vegas, 4505 Maryland Pkwy., Box 454015, Las Vegas, NV 89154-4015. E-mail: [email protected]
Lester A. Hoel
L.A. Lacy Distinguished Professor of Engineering, Univ. of Virginia, P.O. Box 400742, Charlottesville, VA 22904. E-mail: [email protected]

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