Results 231 to 240 of about 11,979,642 (312)
A physic-guided YOLO framework for pavement deformation distress detection. [PDF]
Sci RepSheikholeslami D +4 more
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MCGC-Net: A Text-Enhanced Geometry-Consistent Network for UAV-Based Road Crack Detection. [PDF]
Sensors (Basel)Ou Z, He S, Bu R, Wang P, Gong G.
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Wear Degradation Law of Airport Pavements Under the Coupled Effects of Freeze-Thaw Cycles, Temperature Gradients, and Aircraft Taxiing Loads. [PDF]
Materials (Basel)Sun M, Gong X, Xu H, Shao C, Zhao Z.
europepmc +1 more source
A Dual-Path CNN and Transformer Network for Continuous Pavement Crack Detection. [PDF]
Sensors (Basel)Zhang J, Sun S, Song W, Li Y, Teng Q.
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Journal of Transportation Engineering Part B: Pavements, 2021
Mahour Parast +2 more
exaly +2 more sources
Mahour Parast +2 more
exaly +2 more sources
Structure and Infrastructure Engineering, 2023
This study is to develop pavement performance models using support vector regression and ensemble machine learning methods for selection of pavement overlay strategy. Predictive models of pavement distresses were developed based on the Long-Term Pavement
Jingnan Zhao, Hao Wang
semanticscholar +1 more source
This study is to develop pavement performance models using support vector regression and ensemble machine learning methods for selection of pavement overlay strategy. Predictive models of pavement distresses were developed based on the Long-Term Pavement
Jingnan Zhao, Hao Wang
semanticscholar +1 more source
International Journal of Pavement Engineering, 2021
This paper proposes an ensemble learning model that deploys a Gradient Boosting Decision Tree (GBDT) to predict two relevant functional indices, the International roughness index (IRI) and the rut depth (RD), considering multiple influence factors.
Runhua Guo, Donglei Fu, G. Sollazzo
semanticscholar +1 more source
This paper proposes an ensemble learning model that deploys a Gradient Boosting Decision Tree (GBDT) to predict two relevant functional indices, the International roughness index (IRI) and the rut depth (RD), considering multiple influence factors.
Runhua Guo, Donglei Fu, G. Sollazzo
semanticscholar +1 more source
Transportation Research Record, 2022
Accurate pavement performance forecasting is critical in supporting transportation agencies’ predictive maintenance strategies: programs that prolong pavement service life while using fewer resources.
Micah Mers +3 more
semanticscholar +1 more source
Accurate pavement performance forecasting is critical in supporting transportation agencies’ predictive maintenance strategies: programs that prolong pavement service life while using fewer resources.
Micah Mers +3 more
semanticscholar +1 more source
Autonomous trucks’ (ATs) lateral distribution and asphalt pavement performance
International Journal of Pavement Engineering, 2022Recent research studies have provided useful insights into the impact of the Autonomous Trucks ’s (AT) wheel wander on pavement performance. However, only a single road structure, asphalt mix stiffness and asphalt mix thickness are considered in these ...
K. Georgouli, C. Plati
semanticscholar +1 more source