Integrating multi-scale inspection, maintenance, rehabilitation, and reconstruction decisions into system-level pavement management systems

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dc.contributor.authorShon, Heeseungko
dc.contributor.authorLee, Jinwooko
dc.date.accessioned2021-10-18T07:50:40Z-
dc.date.available2021-10-18T07:50:40Z-
dc.date.created2021-10-18-
dc.date.created2021-10-18-
dc.date.issued2021-10-
dc.identifier.citationTRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, v.131-
dc.identifier.issn0968-090X-
dc.identifier.urihttp://hdl.handle.net/10203/288231-
dc.description.abstractWe are presenting a pavement management framework that involves multi-scale decisions, including system-level budget allocations, group-level inspections, and facility-level maintenance, rehabilitation, and reconstruction (MR&R) strategies. We consider two objectives: (i) to minimize the total discounted cost for the main stakeholders, represented by the agency and users; and (ii) to minimize the discounted user costs under a limited agency budget. Inspection technology innovations have enabled us to investigate the conditions of a group of multiple roadway facilities almost simultaneously, using instrumented vehicles that can travel at the same speed as traffic. Previous related studies have primarily focused on, at most, a bi-level structure with all the managerial activities, such as inspection and MR&R at the facility level and the allocation of a pooled budget at the system level. However, this cannot reflect the current group-level inspection practice, positioned between the facility and system levels. The proposed methodology adopts a bottom-up approach to account for heterogeneous facility- and group-specific properties, and it optimally facilitates determination of the multi-scale decisions to minimize the discounted societal costs. We address the complex multi-scale problem efficiently by adopting the Markov Decision Process, function approximation, and Lagrangian relaxation. As a numerical study, we analyze a real-world roadway network, including three expressway groups and one local road group, near Daejeon City in Korea. The system-level optimal solutions for the multi-scale decisions are determined, and the impacts of the grouping method are investigated.-
dc.languageEnglish-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.titleIntegrating multi-scale inspection, maintenance, rehabilitation, and reconstruction decisions into system-level pavement management systems-
dc.typeArticle-
dc.identifier.wosid000703886300003-
dc.identifier.scopusid2-s2.0-85112611616-
dc.type.rimsART-
dc.citation.volume131-
dc.citation.publicationnameTRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES-
dc.identifier.doi10.1016/j.trc.2021.103328-
dc.contributor.localauthorLee, Jinwoo-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorPavement management systems-
dc.subject.keywordAuthorMulti-scale decisions-
dc.subject.keywordAuthorResource allocation-
dc.subject.keywordAuthorInspection-
dc.subject.keywordAuthorMaintenance, rehabilitation, and reconstruction (MR&amp-
dc.subject.keywordAuthorR)-
dc.subject.keywordAuthorBottom-up approach-
dc.subject.keywordPlusBOTTOM-UP SOLUTION-
dc.subject.keywordPlusJOINT OPTIMIZATION-
dc.subject.keywordPlusPREVENTIVE MAINTENANCE-
dc.subject.keywordPlusINTERVENTION PROGRAMS-
dc.subject.keywordPlusOPTIMAL POLICIES-
dc.subject.keywordPlusMINIMIZATION-
dc.subject.keywordPlusMETHODOLOGY-
dc.subject.keywordPlusSTRATEGIES-
dc.subject.keywordPlusCOSTS-
dc.subject.keywordPlusTIME-
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