The Heavy Weight Deflectometer (HWD) test is one of the most widely used tests for assessing the structural integrity of airport pavements in a non-destructive manner. The elastic moduli of the individual pavement layers “backcalculated” from the HWD deflection measurements are effective indicators of layer condition. Most of the backcalculation programs that are currently in use do not account...

Government agencies and consulting companies in charge of pavement management face the challenge of maintaining pavements in serviceable conditions throughout their life from the functional and structural standpoints. For this, the assessment and prediction of the pavement conditions are crucial. This study proposes a neuro-fuzzy model to predict the performance of flexible pavements using the ...

State departments of transportation recognize the need to incorporate pavement structural condition in their performance models and/or decision processes used select candidate projects for preservation, rehabilitation, or reconstruction at network level. However, data are costly obtain. To this end, paper develops and evaluates effectiveness two machine learning methods, Random Forest (RF) eXtr...

The fuzzy logic technique is one of the effective approaches for evaluating flexible and rigid pavement distress. process classifying distress usually performed by visual inspection surface or using data collected automated measurement equipment. Fuzzy mathematics provides a convenient tool incorporating subjective analysis, uncertainty in condition index, maintenance-needs assessment, can grea...

A signal processing algorithm based on the principle of support vector machines as well as the analysis to the characteristics of road surface diseases is proposed to detect pavement disease. Measurements from vehicle-mounted sensors (e.g., accelerometers and Global Positioning System (GPS) receivers) are properly combined to produce higher quality road roughness data for road surface condition...