Ltpp rutting analysis dataset

Analysis-ready records underlying the article "Leakage-free multi-horizon forecasting of asphalt pavement rutting from LTPP field data: interpretable machine learning ensembles with conformal prediction intervals". 10,549 transverse-profile rutting surveys from 1,354 in-service flexible pavement section-construction cycles, monitored between 1989 and 2023 across 58 states and provinces, drawn from six Long-Term Pavement Performance (LTPP) modules via InfoPave. Each record carries the maximum rut depth of the survey, the prediction target, and fifteen physical predictors spanning traffic, climate, structure, material, mechanical response and elapsed time. The unit of analysis is the section-construction cycle, not the physical pavement: a rehabilitated section contributes one unit per construction cycle, each with its own age origin. Every time-varying quantity was accumulated only up to the survey date, so no information postdating a survey enters its record. Five binary flags mark every imputed cell, allowing imputed values to be restored to missing before any leakage-free re-analysis. Included: the dataset in XLSX with an embedded variable dictionary, the same records in CSV, and a README documenting provenance, units, construction rules and caveats. Section identifiers are text because leading zeros are significant; the dynamic modulus is in MPa. Source: LTPP program, Federal Highway Administration (https://infopave.fhwa.dot.gov).