| contributor author | Shariatfar, Moeid | |
| contributor author | Yin, Yangtian | |
| contributor author | Lee, Yong-Cheol | |
| contributor author | Choi, Kunhee | |
| date accessioned | 2026-08-20T11:50:23Z | |
| date available | 2026-08-20T11:50:23Z | |
| date copyright | 2026/01/31 | |
| date issued | 2026 | |
| identifier other | JMENEA.MEENG-7046.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312741 | |
| description abstract | AbstractExtreme flooding poses escalating risks to roadway infrastructure, threatening structural
integrity, operational reliability, and public safety. Existing flood-monitoring approaches
primarily utilize sparse sensor networks, thus providing limited ... | |
| publisher | American Society of Civil Engineers | |
| title | When Roads Go Underwater: AI-Enhanced Digital Twin–Driven Flood Resilience for Roadway Serviceability Assessment | |
| type | Journal Article | |
| journal volume | 42 | |
| journal issue | 3 | |
| journal title | Journal of Management in Engineering | |
| identifier doi | 10.1061/JMENEA.MEENG-7046 | |
| journal fristpage | 04026004-1 | |
| journal lastpage | 04026004-13 | |
| page | 13 | |
| tree | Journal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 003 | |
| contenttype | Fulltext | |
