01656643

Component

This paper presents the results of investigating the relationship between many variables contained within the Federal Highway Administration’s (FHWA’s) Highway Performance Monitoring System (HPMS) and the reported condition of pavements. Given the rules developed by FHWA in support of the past two transportation funding bills, reporting accurate pavement condition for input into the HPMS has increased in importance. In light of this, FHWA undertook a study to assess the quality and representativeness of the data contained in the HPMS. This paper presents the results of the part of this study that assessed the relationship between pavement condition and climate, terrain, traffic, urban setting and reported segment length. First, the relationship between the overall pavement condition and these variables is presented to demonstrate their significance. Following this, an improved source for climate information that was used in this analysis is detailed. Finally, a logistic regression model that shows the relative importance of each variable on the predicted pavement condition is detailed. This analysis demonstrates the correlation between each of the reported variables, and the likelihood of a pavement being in a given condition. In addition, this analysis demonstrates a strong relationship between the lengths of the pavement segments and the overall condition of the pavement, showing that short segments tend to be in worse condition.

This paper was sponsored by TRB committee AFD10 Standing Committee on Pavement Management Systems.

18-00308

English

12p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Climate; Data quality; Logistic regression analysis; Terrain; Traffic

Highway Performance Monitoring System

Pavement conditions; Segment length; Urban setting

Highways; Pavements

Transportation Research Board Annual Meeting 2018 Paper #18-00308

TRIS, TRB, ATRI

Jan 8 2018 10:05AM