Adaboost Algorithm in Artificial Intelligence for Optimizing the IRI Prediction Accuracy of Asphalt Concrete Pavement [PDF]
Sensors, 2021 The international roughness index (IRI) for roads is a crucial pavement design criterion in the Mechanistic-Empirical Pavement Design Guide (MEPDG). However, studies have shown that the IRI transfer function in the MEPDG is simply a linear combination of
Changbai Wang, Shuzhan Xu, Junxin Yang
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The Benefits of Long-Term Pavement Performance (LTPP) Research to Funders
Transportation Research Procedia, 2016 AbstractLong-term pavement performance (LTPP) monitoring has been conducted in Australia for over 20 years. This research was funded by Austroads (representing federal, state and territory road agencies, local government and the New Zealand road agency) to promote improved practice and capability for the road agencies.
Martin, Tim, Choummanivong, Lith
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International Journal of Transportation Science and Technology, 2023 Environmental factors and truck traffic loads have significant impacts on asphalt pavement performance. This study implements geospatial hot spot, correlation, and decision tree analyses to investigate the impacts of environmental factors and truck ...
Kun Zhang, Zhongren Wang
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Computation, 2022 Long-term pavement performance (LTPP) was used to investigate factors contributing to pavement skid resistance. The random effect model, with a Poisson distribution, was employed to analyze the relationship between various variables and pavement friction
Mahdi Rezapour +2 more
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International Journal of Transportation Science and TechnologyAccurate pavement performance prediction plays a critical role in formulating maintenance and repair strategies for transportation departments, enabling the achievement of better pavement performance with limited financial resources.
Luchuan Chen +5 more
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Analysis on Effects of Joint Spacing on the Performance of Jointed Plain Concrete Pavements Based on Long-Term Pavement Performance Database. [PDF]
Materials (Basel), 2022 Wang J, Luo X, Huang X, Ye Y, Ruan S.
europepmc +2 more sources
Models Development for Asphalt Pavement Performance Index in Different Climate Regions Using Soft Computing Techniques [PDF]
Journal of Soft Computing in Civil Engineering, 2023 The Pavement Condition Index (PCI) is one of the most critical pavement performance indicators and ride quality. This study aims to develop PCI models based on pavement distress parameters using conventional technique and artificial neural network (ANN ...
Abdualmtalab Ali +4 more
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Traffic and Climate Impacts on Rutting and Thermal Cracking in Flexible and Composite Pavements
Infrastructures, 2022 The study presented in this paper analyzed four long-term pavement performance (LTPP) test sections located in the states of New York (NY) and California (CA).
Alexa Raffaniello +3 more
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Development of An Artificial Neural Network Model for Asphalt Pavement Deterioration Using LTPP Data [PDF]
Journal of Rehabilitation in Civil Engineering, 2020 Deterioration models are the essential parts of any Pavement Management System (PMS). These models are employed to predict future pavement situation based on existence condition, parameters causing deterioration and implications of various maintenance ...
Nader Solatifar, S. Mohammad Lavasani
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Panel data analysis of surface skid resistance for various pavement preventive maintenance treatments using long term pavement performance (LTPP) data [PDF]
Canadian Journal of Civil Engineering, 2017 Various preventive maintenance (PM) treatments have been employed to restore pavement skid resistance for enhanced safety. This paper investigates the effectiveness of PM treatments using panel data analysis (PDA). Panel data analysis investigates the differences of cross-sectional information among treatments, but also the time-series changes within ...
Li, Qiang Joshua +4 more
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