Field Data–Driven Machine-Learning Approach for Estimating Pavement Skid Numbers from LWST Measurements for Improved Asphalt Pavement SafetySource: Journal of Transportation Engineering, Part B: Pavements:;2026:;Volume ( 152 ):;issue: 003::page 04026020-1Author:Khasawneh, Mohammad Ali
,
Mewada, Hiren
,
Rababah, Samer
,
Nayeemuddin, Mohammed
,
Khasawneh, Ahmad Ali
,
Alsheyab, Mohammad Ahmad
DOI: 10.1061/JPEODX.PVENG-1822Publisher: American Society of Civil Engineers
Abstract: Abstract This study investigated the feasibility of predicting skid numbers (SNs) measured
by a locked-wheel skid trailer (LWST) using more-accessible surface friction and texture
data from a dynamic friction tester (DFT), British pendulum tester (BPT), ... Practical Applications Accurately measuring pavement friction is crucial for maintaining roadway safety,
but traditional methods, such as locked-wheel skid trailer (LWST) testing, are time-consuming,
expensive, and require traffic disruptions. This study ...
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| contributor author | Khasawneh, Mohammad Ali | |
| contributor author | Mewada, Hiren | |
| contributor author | Rababah, Samer | |
| contributor author | Nayeemuddin, Mohammed | |
| contributor author | Khasawneh, Ahmad Ali | |
| contributor author | Alsheyab, Mohammad Ahmad | |
| date accessioned | 2026-08-20T12:01:40Z | |
| date available | 2026-08-20T12:01:40Z | |
| date copyright | 2026/04/19 | |
| date issued | 2026 | |
| identifier other | JPEODX.PVENG-1822.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312994 | |
| description abstract | Abstract This study investigated the feasibility of predicting skid numbers (SNs) measured by a locked-wheel skid trailer (LWST) using more-accessible surface friction and texture data from a dynamic friction tester (DFT), British pendulum tester (BPT), ... Practical Applications Accurately measuring pavement friction is crucial for maintaining roadway safety, but traditional methods, such as locked-wheel skid trailer (LWST) testing, are time-consuming, expensive, and require traffic disruptions. This study ... | |
| publisher | American Society of Civil Engineers | |
| title | Field Data–Driven Machine-Learning Approach for Estimating Pavement Skid Numbers from LWST Measurements for Improved Asphalt Pavement Safety | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 3 | |
| journal title | Journal of Transportation Engineering, Part B: Pavements | |
| identifier doi | 10.1061/JPEODX.PVENG-1822 | |
| journal fristpage | 04026020-1 | |
| journal lastpage | 04026020-16 | |
| page | 16 | |
| tree | Journal of Transportation Engineering, Part B: Pavements:;2026:;Volume ( 152 ):;issue: 003 | |
| contenttype | Fulltext |