12/11/2022 0 Comments Ltpp contest winnersThe present method used to estimate water infiltrating into the pavement of highway is regional and less representative. The use of NALS to estimate the TA WIM accuracy can save a significant amount of time and resources, which are usually spent on equipment calibrations every year. Further, the results obtained using different statistical methods for model development and validation show reasonable goodness of fit. The results show that the WIM accuracy for the tandem axle (TA) can be estimated with TA NALS shape factors with an acceptable degree of error for bending plate (BP) and quartz piezo (QP) sensors. This approach can help highway agencies select optimum timings for routine maintenance and calibration of WIM equipment without compromising its accuracy. This analysis’s main objective is to determine WIM system errors based on axle loading without physically performing equipment calibration. The WIM error data collected before and after calibration were related to NALS shape factors for Class 9 vehicles. This alternative approach to assess WIM system accuracy is needed to characterize temporal changes in WIM data consistency. The paper presents an approach to estimate WIM system accuracy based on axle load spectra attributes. Therefore, the data collected at WIM systems must be accurate and consistent. Inaccurate weigh-in-motion (WIM) data may result in significant over-or under-estimation of the pavement performance period, leading to over-or under-design pavements.
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