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Title:

Sensitivity Analysis of Performance Metrics to Different Parameters in Pavement Management System

Accession Number:

01659467

Record Type:

Component

Abstract:

A pavement management system is a useful tool for departments of transportation to address the problems of limited budget and aging infrastructures. Previous research focuses mainly on the budget allocation process, trying to improve the optimization algorithms and consider the uncertainty of predictions for pavement deterioration. In any given pavement management system, there are usually many parameters. However, analysis has not been performed to determine the influence of different parameters on the pavement network performance. In this paper, the sensitivity of performance metrics to different parameters is explored based on the interstate pavement network in the U.S. state of Virginia by a probabilistic allocation network model developed at the Massachusetts Institute of Technology (MIT). A statistical method is applied to conduct the sensitivity analysis. The sensitivity of performance metrics to different parameters is decided by p values, and the relative significance of different parameters is compared and ordered by z-score statistics.

Supplemental Notes:

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

Report/Paper Numbers:

18-02672

Language:

English

Authors:

Guo, Fengdi
Swei, Omar
Gregory, Jeremy
Kirchain, Randolph

Pagination:

13p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

Highways; Pavements

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-02672

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:38AM