| contributor author | Yao, Linyi | |
| contributor author | Leng, Zhen | |
| contributor author | Jiang, Jiwang | |
| contributor author | Zheng, Junqiu | |
| contributor author | Ni, Fujian | |
| date accessioned | 2026-08-20T12:01:45Z | |
| date available | 2026-08-20T12:01:45Z | |
| date copyright | 2025/10/06 | |
| date issued | 2025 | |
| identifier other | JPEODX.PVENG-1824.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312996 | |
| description abstract | AbstractPavement surface condition may have a significant impact on traffic accidents, but
its influencing mechanisms remain unclear, and safety-oriented maintenance thresholds
are still lacking. To addresses these gaps, this study develops a highway ... | |
| publisher | American Society of Civil Engineers | |
| title | Assessing Pavement Conditions Impact on Traffic Crashes: An Interpretable Machine-Learning Approach to Identify Crash Risk Factors and Performance Thresholds | |
| type | Journal Article | |
| journal volume | 151 | |
| journal issue | 4 | |
| journal title | Journal of Transportation Engineering, Part B: Pavements | |
| identifier doi | 10.1061/JPEODX.PVENG-1824 | |
| journal fristpage | 04025049-1 | |
| journal lastpage | 04025049-13 | |
| page | 13 | |
| tree | Journal of Transportation Engineering, Part B: Pavements:;2025:;Volume ( 151 ):;issue: 004 | |
| contenttype | Fulltext | |
