ABSTRACT

This research quantified the impact that truck mix, distress severity, and climate have on pavement damage and maintenance costs based on Long-Term Pavement Performance (LTPP) sections. Cost analysis was conducted using in-situ records of maintenance and rehabilitation data from 1988 to 2016. The paper quantified damage cost per VMT and ESAL-mile for each FHWA truck class. Economies of scale are evident in the cost per ESAL-mile relative to total pavement loading as segments carrying higher traffic loads require additional maintenance and rehabilitation, however additional cost for these procedures is outpaced by the increase in traffic resulting in a reduction in the pavement damage cost per ESAL-mile. The cost per ESAL-mile varied from $0.01 to $0.37 per ESAL-mile depending on total loading, a relationship that is accurately modeled (R₂ = 0.97) using the developed power function. Results also show that vehicle class, and thereby the number and distribution of ESALs, significantly impacts the pavement damage cost. The research developed an accurate and robust model correlating pavement damage cost per ESAL-mile to the accumulated number of ESALs during the pavement service life. Transportation agencies can utilize this model to determine a fair variable compensation for the pavement damage imposed by individual trucks.

摘要

这项研究根据长期路面性能 (LTPP) 部分量化了卡车组合、遇险严重程度和气候对路面损坏和维护成本的影响。成本分析是使用 1988 年至 2016 年维护和修复数据的现场记录进行的。该论文量化了每个 FHWA 卡车类别的每 VMT 和 ESAL 英里的损坏成本。规模经济在每 ESAL 英里相对于路面总负载的成本中很明显，因为承载较高交通负载的路段需要额外的维护和修复，但是这些程序的额外成本被交通量的增加所超过，从而减少了路面损坏每 ESAL 英里的成本。每 ESAL 英里的成本从每 ESAL 英里 0.01 美元到 0.37 美元不等，具体取决于总负载，这种关系是精确建模的（R ₂ = 0.97) 使用开发的幂函数。结果还表明，车辆类别以及 ESAL 的数量和分布对路面损坏成本有显着影响。该研究开发了一个准确而稳健的模型，将每 ESAL 英里的路面损坏成本与路面使用寿命期间的 ESAL 累积数量相关联。运输机构可以利用该模型来确定对个别卡车造成的路面损坏的公平可变补偿。