| contributor author | Yu, Gang | |
| contributor author | Li, Jialin | |
| contributor author | Xiong, Jing | |
| contributor author | Hu, Min | |
| contributor author | Zeng, Ruoceng | |
| contributor author | Sugumaran, Vijayan | |
| date accessioned | 2026-08-20T21:22:44Z | |
| date available | 2026-08-20T21:22:44Z | |
| date copyright | 2025/06/02 | |
| date issued | 2025 | |
| identifier other | JCCEE5.CPENG-6190.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314363 | |
| description abstract | AbstractThe cognitive digital twin (CDT) concept provides a promising way to organize and
integrate the full life-cycle data of urban road emergency scenarios, as well as facilitate
scenario deduction and prediction. The construction of twin models ... | |
| publisher | American Society of Civil Engineers | |
| title | Scenario Modeling for Urban Road Emergency Management: A Cognitive Digital Twin–Based Method | |
| type | Journal Article | |
| journal volume | 39 | |
| journal issue | 5 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-6190 | |
| journal fristpage | 04025058-1 | |
| journal lastpage | 04025058-19 | |
| page | 19 | |
| tree | Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005 | |
| contenttype | Fulltext | |
