software · Zenodo (CERN European Organization for Nuclear Research)
The abstract on record is too brief for a reliable plain-language summary, so none has been generated.
This repository contains the reproducibility materials associated with the accepted research article, “Horizon-dependent pavement roughness forecasting with machine learning and treatment history,” in the International Journal of Pavement Engineering. The archive contains the computational workflow, analysis scripts, processed and derived research outputs, model evaluation materials, figure- and table-source files, and supporting documentation required to reproduce and audit the principal analyses reported in the study. The study uses pavement performance information derived from the U.S. Federal Highway Administration Long-Term Pavement Performance (LTPP) programme. Original third-party source data are not claimed as the property of the authors and should be obtained from the appropriate original provider where applicable. This repository is intended to support transparency, reproducibility and independent verification of the published analyses. Please cite both this repository and the associated journal article when using materials from this archive.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.5281/zenodo.22658774
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