Pavement Forecasting Models: Executive Summary Report

Chou, Eddie; University of Toledo

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

i

Pavement Forecasting Models: Executive Summary Report

2008-03-01
By Chou, Eddie

[PDF-47.36 KB]

English

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Details:

Alternative Title:

Pavement Forecasting Models : [executive summary].
Creators:

Chou, Eddie
Corporate Creators:

University of Toledo
Contributors:

Green, Roger ; William, Andrew

Green, Roger ; William, Andrew Less -
Corporate Contributors:

Ohio. Dept. of Transportation
Subject/TRT Terms:

[+]

Computer Models Forecasting Pavements
Publication/ Report Number:

FHWA/OH-2008/3
Resource Type:

Brief
Geographical Coverage:

United States
Corporate Publisher:

Ohio. Dept. of Transportation
Abstract:

The ability to forecast future pavement condition is highly valuable in supporting various pavement management decisions. ODOT has compiled roadway inventory, pavement condition history, and construction activities data into a comprehensive pavement management database. To fully benefit from this database to support decisions regarding future repair strategies, it is necessary to forecast future conditions and to determine the remaining service life of pavement sections. Such forecasting capability will significantly benefit ODOT in choosing the most cost-effective rehabilitation strategies to maintain and preserve the State’s highway systems.
Content Notes:

Two page Executive Summary Report
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:d1511db11227bf393692dfe8576f4b5eb96a1e3e08be7c7a5e76df7bcccf7d88
Download URL:

https://rosap.ntl.bts.gov/view/dot/37644/dot_37644_DS1.pdf
File Type:

No Additional Files

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Pavement Forecasting Models: Executive Summary Report

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