With increasing economic pressures worldwide, the amount of money spent on pavement preservation needs to become more effectively utilised. Historically, the Long-Term Pavement Performance (LTPP) study has led to data-driven performance expectations for treatments. Pavement management systems (PMS) allowed many to form analytical methods to evaluate pavement performance, from trend fitting to benefit analysis. Taking these methods and applying them to the Iowa Department of Transportation’s (DOT) pavement management information system (PMIS) database can determine preservation utility as well as provide expectations of pavement treatments. Thirteen slurry seal projects across the wet/freeze climate of Iowa, U.S.A., were analysed to determine the service life extensions and yearly benefit for their pavement condition, rutting, riding, and cracking indices. This study aims to provide a framework for future analysis of more preservation treatments and other PMS databases. Understanding local performance of various preservation methods leads to better pavement management and economically sound decisions.

随着全球经济压力的增加，花在路面保护上的资金需要得到更有效的利用。从历史上看，长期路面性能 (LTPP) 研究导致了数据驱动的处理性能预期。路面管理系统 (PMS) 允许许多人形成分析方法来评估路面性能，从趋势拟合到效益分析。采用这些方法并将其应用于爱荷华州交通部 (DOT) 的路面管理信息系统 (PMIS) 数据库，可以确定保护效用并提供对路面处理的预期。分析了美国爱荷华州潮湿/冰冻气候的 13 个泥浆密封项目，以确定其路面状况、车辙、骑行、和开裂指数。本研究旨在为未来分析更多保存处理和其他 PMS 数据库提供一个框架。了解各种保护方法在当地的表现会导致更好的路面管理和经济合理的决策。