DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shon, Heeseung | ko |
dc.contributor.author | Lee, Jinwoo | ko |
dc.date.accessioned | 2021-10-18T07:50:40Z | - |
dc.date.available | 2021-10-18T07:50:40Z | - |
dc.date.created | 2021-10-18 | - |
dc.date.created | 2021-10-18 | - |
dc.date.issued | 2021-10 | - |
dc.identifier.citation | TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, v.131 | - |
dc.identifier.issn | 0968-090X | - |
dc.identifier.uri | http://hdl.handle.net/10203/288231 | - |
dc.description.abstract | We 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.language | English | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | Integrating multi-scale inspection, maintenance, rehabilitation, and reconstruction decisions into system-level pavement management systems | - |
dc.type | Article | - |
dc.identifier.wosid | 000703886300003 | - |
dc.identifier.scopusid | 2-s2.0-85112611616 | - |
dc.type.rims | ART | - |
dc.citation.volume | 131 | - |
dc.citation.publicationname | TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES | - |
dc.identifier.doi | 10.1016/j.trc.2021.103328 | - |
dc.contributor.localauthor | Lee, Jinwoo | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Pavement management systems | - |
dc.subject.keywordAuthor | Multi-scale decisions | - |
dc.subject.keywordAuthor | Resource allocation | - |
dc.subject.keywordAuthor | Inspection | - |
dc.subject.keywordAuthor | Maintenance, rehabilitation, and reconstruction (MR& | - |
dc.subject.keywordAuthor | R) | - |
dc.subject.keywordAuthor | Bottom-up approach | - |
dc.subject.keywordPlus | BOTTOM-UP SOLUTION | - |
dc.subject.keywordPlus | JOINT OPTIMIZATION | - |
dc.subject.keywordPlus | PREVENTIVE MAINTENANCE | - |
dc.subject.keywordPlus | INTERVENTION PROGRAMS | - |
dc.subject.keywordPlus | OPTIMAL POLICIES | - |
dc.subject.keywordPlus | MINIMIZATION | - |
dc.subject.keywordPlus | METHODOLOGY | - |
dc.subject.keywordPlus | STRATEGIES | - |
dc.subject.keywordPlus | COSTS | - |
dc.subject.keywordPlus | TIME | - |
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