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Expert project recommendation procedure for ADOT's pavement management system

Author: Gerardo W Flintsch; John P Zaniewski; James Delton; Arizona. Department of Transportation.; Arizona Transportation Research Center.
Publisher: Phoenix, AZ : Arizona Dept. of Transportation ; [Springfield, Va.] : [Available through the National Technical Information Service], [1997]
Edition/Format:   Print book : State or province government publication : EnglishView all editions and formats
Database:WorldCat
Summary:
The Arizona Department of Transportation, ADOT, uses a network level pavement management system to determine budget requirements for their annual pavement preservation program. While this is a valuable tool for preservation programming, it does not assist the engineers with the selection of projects and rehabilitation treatments. The research documented in this paper was designed to enhance the capability of ADOT's  Read more...
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Additional Physical Format: Online version:
Flintsch, Gerardo W.
Expert project recommendation procedure for ADOT's pavement management system.
Phoenix, AZ : Arizona Dept. of Transportation ; [Springfield, Va.] : [Available through the National Technical Information Service], [1997]
(OCoLC)855513419
Material Type: Government publication, State or province government publication, Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Gerardo W Flintsch; John P Zaniewski; James Delton; Arizona. Department of Transportation.; Arizona Transportation Research Center.
OCLC Number: 37639469
Notes: Cover title.
Prepared by the Arizona Transportation Research Center in cooperation with the Federal Highway Administration.
"August 1997."
Description: x, 173 pages : charts ; 28 cm
Contents: Ch. 1. Introduction --
Structure of a Pavement Management System --
Overview of ADOT's Pavement Management System --
ISTEA Regulations --
Enhancements Needed to Meet NHS PMS Requirements ---
Objective of the Research --
Research Approach --
Ch. 2. Literature Review --
Program Development --
Determination of Homogenous Sections --
Pavement Performance Prediction --
Remaining Service Life --
Treatment Selection and Project Prioritization --
Artificial Intelligence and Pavement Management --
Techniques for Gathering and Quantifying Expert's Opinions --
Summary and Conclusions of the Literature Review --
Ch. 3. Project Delineation --
General Requirements --
Selected Project Delineation Methodology --
Implementation of the Project Delineation Procedure --
Analysis of the Uniform Sections Defined --
Ch. 4. Performance Prediction --
Remaining Service Life Analysis --
Alternative Performance Prediction Procedures --
Implementation --
RSL Analysis --
Ch. 5. Screening and Recommendation of Pavement Preservation Projects --
Selected Project Screening and Recommendation Methodology --
Design of the Artificial Neural Network --
Implementation --
Preliminary List of Recommended Sections --
Ch. 6. Project Recommendations --
Pavement Maintenance and Rehabilitation Survey --
Alternative Pavement Prioritization Formula --
Treatment Pavement Prioritization Formula --
Treatment Assignment Scheme --
Implementation --
Ch. 7. Software Overview --
Database Management --
Program Generation --
Program Display --
Report Generation --
Suggested 1999 Pavement Preservation Program. Ch. 8. Conclusions and Recommendation --
Conclusions --
Recommendation for Further Research.
Other Titles: Expert project recommendation procedure for Arizona Dept. of Transportation's pavement management system
Responsibility: prepared by Gerardo W. Flintsch, John P. Zaniewski, James Delton.

Abstract:

The Arizona Department of Transportation, ADOT, uses a network level pavement management system to determine budget requirements for their annual pavement preservation program. While this is a valuable tool for preservation programming, it does not assist the engineers with the selection of projects and rehabilitation treatments. The research documented in this paper was designed to enhance the capability of ADOT's pavement management system to include project selection.

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