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Apr 26, 2012
System Reliability and Maintainability Assessment through Simulation: A Case Study of Bus Dynamic Operation in Transit Networks
Authors: Wuhong Wang, Fuguo Hou, Zhongjie Shen, and Katsushi IkeuchiAuthor Affiliations
Publication: Applications of Advanced Technologies in Transportation Engineering (2004)
Abstract
The dependability assessment (i.e., reliability, maintainability) to bus dynamic operation in transit networks is playing increasingly important role in designing routes, creating timetables, scheduling bus to trips and assigning drivers. Since failures and repairs can occur at any time and even simultaneously during the bus operation process, in-operate repair or replacement that subjects to random times to failure must be made before the maximum bus downtime is exceeded. Also, in-operate maintenance must take into account such factors as time to repair, failure rates, repair rates, and distributions of the preceding factors. In this paper, we have carried out the assessment of bus dynamic operation in special transit networks through simulation as a case study. It is shown that the system dependability assessment method through simulation is powerful and adaptable to measure the reliability and maintainability of bus dynamic operation whose subsystems/components follow to arbitrary failure and repair distributions. The emphasis of this paper is also placed on the presentation of algorithm of dependability simulation and simulation procedures.
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© 2004 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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Wuhong Wang
The Computer Vision Laboratory, Institute of Industrial Science, the University of Tokyo, Tokyo 106-8558, Japan; School of Vehicle and Transportation Engineering, Beijing Institute of Technology, Beijing 100081, P. R. China
Fuguo Hou
Chinese Academy of Railway Science, Beijing 100082, P R China
Zhongjie Shen
School of Vehicle and Transportation Engineering, Beijing Institute of Technology, Beijing 100081, P. R. China
Katsushi Ikeuchi
Computer Vision Laboratory, Institute of Industrial Science, the University of Tokyo, Tokyo 106-8558, Japan
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