A METHODOLOGY FOR THE DEVELOPMENT OF PERFORMANCE AND DISTRESS MODELS FOR A PMS USING AUTOMATED DATA

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Dye, M. (2014). A METHODOLOGY FOR THE DEVELOPMENT OF PERFORMANCE AND DISTRESS MODELS FOR A PMS USING AUTOMATED DATA. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

Automated pavement data collection technologies have gained momentum due to the fact that the automated data have more detail, greater quantity, better quality, and better repeatability. A systematic method of developing performance and distress models; however, is lacking. This study was conducted to address this issue. Maximum Allowable Extent (MAE) values and the Analytical Hierarchy Process (AHP) were used to calculate composite distress and performance indices. Non-linear sigmoidal distress and performance models were then developed. A visual comparison of the automated model curves and the corresponding windshield model curves indicated that the automated models are robust. In addition, trigger points on the North Carolina Department of Transportation (NCDOT) Pavement Management System (PMS) decision tress were determined, which allow NCDOT engineers to select appropriate maintenance actions.

Details
Author

Dye, Michael

Title

A METHODOLOGY FOR THE DEVELOPMENT OF PERFORMANCE AND DISTRESS MODELS FOR A PMS USING AUTOMATED DATA

Physical Description

1 online resource (132 pages) : PDF

Date

2014

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

Automated pavement data collection technologies have gained momentum due to the fact that the automated data have more detail, greater quantity, better quality, and better repeatability. A systematic method of developing performance and distress models; however, is lacking. This study was conducted to address this issue. Maximum Allowable Extent (MAE) values and the Analytical Hierarchy Process (AHP) were used to calculate composite distress and performance indices. Non-linear sigmoidal distress and performance models were then developed. A visual comparison of the automated model curves and the corresponding windshield model curves indicated that the automated models are robust. In addition, trigger points on the North Carolina Department of Transportation (NCDOT) Pavement Management System (PMS) decision tress were determined, which allow NCDOT engineers to select appropriate maintenance actions.

Genre

masters theses

Subjects--Topics

Civil engineering

Degree

M.S.

Keywords

AHP
Distress Models
MAE
Performance Models
PMS
Trigger Points

Subject Area

Construction & Facilities Mgmt

Advisor(s)

Chen, Don

Committee Members

Chen, Don
Hildreth, John
Nicholas, Thomas

Degree Note

Thesis (M.S.)--University of North Carolina at Charlotte, 2014.

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Rights Holder Information

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Identifier

Dye_uncc_0694N_10716

Permalink

http://hdl.handle.net/20.500.13093/etd:610