DC Field | Value | Language |
---|---|---|
dc.contributor.author | Woo, Soomin | ko |
dc.contributor.author | Yeo, Hwasoo | ko |
dc.date.accessioned | 2023-09-22T07:00:50Z | - |
dc.date.available | 2023-09-22T07:00:50Z | - |
dc.date.created | 2023-09-22 | - |
dc.date.issued | 2015-08 | - |
dc.identifier.citation | 11th International Conference of the International-Institute-for-Infrastructure-Resilience-and-Reconstruction (I3R2) - Complex Disasters and Disaster Risk Management, pp.95 - 103 | - |
dc.identifier.issn | 1877-0428 | - |
dc.identifier.uri | http://hdl.handle.net/10203/312879 | - |
dc.description.abstract | In order to improve the current pavement inspection systems, many studies have attempted to produce a flexible inspection schedule by minimizing the lifecycle cost of pavement management system. However, these methods do not incorporate the risk of untimely inspection nor adopt the state-of-art intelligent transportation resources, such as traffic data from various infrastructures, flow prediction models with high accuracy, and empirical-mechanistic models for pavement deterioration process. Therefore, this paper proposes a framework to optimize a flexible inspection schedule within a risk boundary defined by pavement state prediction with traffic flow data and a more mechanistic deterioration model. The results validate the outperformance of the optimized inspection over two conventional inspection schemes-1-year and 2-year regular inspection. Also the optimized inspection is comparably more robust than the regular inspections with different traffic scenarios due to the uncertainty risk taken by regular inspections. | - |
dc.language | English | - |
dc.publisher | Elsevier BV | - |
dc.title | Optimization of Pavement Inspection Schedule with Traffic Demand Prediction | - |
dc.type | Conference | - |
dc.identifier.wosid | 000386620000009 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 95 | - |
dc.citation.endingpage | 103 | - |
dc.citation.publicationname | 11th International Conference of the International-Institute-for-Infrastructure-Resilience-and-Reconstruction (I3R2) - Complex Disasters and Disaster Risk Management | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | Seoul | - |
dc.identifier.doi | 10.1016/j.sbspro.2016.04.013 | - |
dc.contributor.localauthor | Yeo, Hwasoo | - |
dc.contributor.nonIdAuthor | Woo, Soomin | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.