01624789

Component

Pavement maintenance and rehabilitation (M&R) records are important because they provide documentation that M&R treatment is being performed and completed appropriately. Moreover, the development of pavement performance models relies heavily on the quality of the collected condition data and M&R records. However, the history of pavement M&R activities is often missing or unavailable to highway agencies due to various reasons. Without accurate M&R records, it is difficult to determine if a condition change between two consecutive inspections is the result of M&R intervention, deterioration, or measurement errors. Also, the time gaps between condition inspections are usually unevenly spaced, which adds more complexity to data analysis. In this research, a Bayesian model was proposed to detect if an M&R treatment was applied to a pavement section between two consecutive condition inspections. The proposed model was demonstrated using data from the Long Term Pavement Performance (LTPP) database and high accuracy was obtained.

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

01618707

17-03885

English

13p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Condition surveys; Databases; Pavement maintenance; Pavement management systems; Rehabilitation

Long-Term Pavement Performance Program

Bayesian models; Missing data

Highways; Maintenance and Preservation; Pavements

Transportation Research Board Annual Meeting 2017 Paper #17-03885

TRIS, TRB, ATRI

Dec 8 2016 11:29AM