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原文传递 Spatial Sampling with Fisher Information for Optimal Maintenance Management and Quality Assurance

题名：	Spatial Sampling with Fisher Information for Optimal Maintenance Management and Quality Assurance
其他题名：	De la Garza,J.M.,Pifiero,J.C.,and Ozbek,M.E.(2008)."Sampling procedure for performance-based road maintenance evaluations."J.Transp.Res.Board,2044,11-18.
正文语种：	英文
作者：	Xiaoyue Cathy Liu
关键词：	Sampling; Fisher information; Signage; Level of maintenance; Spatially balanced
摘要：	Maintenance management has been relying heavily on collecting asset condition information to plan for maintenance activities and budget allocation. Data collection is often conducted on a sampling basis because of resource constraints. There is thus a perceived need for the development of an effective sampling framework that can determine statistically representative samples, reflect the true level of maintenance (LOM) at state/region/station levels, and accommodate agencies' requirements. The paper advances existing knowledge by presenting a systemic approach for a sampling scheme development to assist maintenance activity planning. The proposed method addresses how much and where the agencies need to collect asset condition data for accurate LOM estimation. The method integrates Fisher information with a spatial sampling technique that can be customized based on local agencies' requirements, such as station balanced, spatially balanced, or others. The framework is showcased via an example application of the Signage Repair and Replace database maintained by the Utah Department of Transportation (UDOT). Four sampling methods that might be tempered to various needs are implemented. Sampling results are presented and compared against historical full asset inventory via similarity analysis. The proposed framework lays a strong theoretical foundation for maintenance asset sampling and is effective for estimating LOM at state, region, and station levels to assist with budget allocation. The method can be easily transferable and adaptable to other agencies for optimal maintenance management.
出版年：	2017
论文唯一标识：	P-72Y2017V143N10004
英文栏目名称：	TECHNICAL PAPERS
doi：	10.1061/JTEPBS.0000083
期刊名称：	Journal of Transportation Engineering
拼音刊名(出版物代码)：	P-72
卷：	143
期：	10
页码：	20-28