00638710

Component

http://onlinepubs.trb.org...trr/1993/1397/1397-010.pdf

https://scholar.google.co...lton&publication_year=1993

The important aspects of the original network optimization system (NOS) used in the Arizona Department of Transportation (ADOT) are reviewed. The NOS has been an important instrument for the Highway Preservation Program since the early 1980s. However, no major updates have been conducted to the original NOS since its initial implementation. It was determined that there is a need to reevaluate the system since there are more than 10 years of pavement performance data available now and technology advancements in microcomputers. Several improvements should be made to the NOS model structure and the original transition probability matrices (TPMs). The factor of crack change was found to be insignificant in predicting the acceleration of pavement deterioration. Therefore, it was removed from the system. The effective rehabilitation actions were determined to be 6 instead of the original 17. In addition, new prediction models were established for all the road categories on the basis of the 13-year pavement performance data base in Arizona. The TPMs were modified with accessibility rules to improve the prediction of pavement performance. Pavement probabilistic behavior curves have been established and analyzed on the basis of Chapman-Kolmogorov equations. The new NOS structure improves the effectiveness and efficiency of the optimization. The enhanced NOS is implemented on a high-end microcomputer in the 32-bit operating environment. ADOT uses the new NOS to conduct financial analysis for more than 7,000 mi of highways with annual rehabilitation funding approaching $100 million.

This paper appears in Transportation Research Record No. 1397, Pavement Management Systems. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved

01401235

English

p. 68-76

1993

Transportation Research Record

0309054680

Figures (6) ; References (9) ; Tables (8)

Driver rehabilitation; Equations; Financial analysis; Forecasting; Improvements; Microcomputers; Optimization; Pavement management systems; Pavement performance; Probability

Probabilistic analysis; Rehabilitation

Arizona

Arizona

Data and Information Technology; Design; Finance; Highways; Pavements; I22: Design of Pavements, Railways and Guideways; I23: Properties of Road Surfaces

TRIS, TRB, ATRI

Oct 28 1993 12:00AM

• COMPREHENSIVE RANKING INDEX FOR FLEXIBLE PAVEMENT USING FUZZY SETS MODEL
• CONDITION-BASED TREATMENT RECOMMENDATION FOR PROJECT-LEVEL PAVEMENT MANAGEMENT
• DEVELOPMENT OF DELAWARE DEPARTMENT OF TRANSPORTATION PAVEMENT MANAGEMENT SYSTEM
• DYNAMIC DECISION MODEL FOR PAVEMENT MANAGEMENT USING MECHANISTIC PAVEMENT PERFORMANCE SUBMODEL
• INTEGRATED PAVEMENT AND BRIDGE MANAGEMENT OPTIMIZATION
• NETWORK CONDITION ANALYSIS FOR PAVEMENT PROGRAM DEVELOPMENT: A CASE STUDY
• OBJECTIVE-ORIENTED APPROACH TO FULFILLING THE NEED FOR PMS PAVEMENT STRUCTURE SURVEY DATA IN JAPAN
• RANKING VERSUS SIMPLE OPTIMIZATION IN SETTING PAVEMENT MAINTENANCE PRIORITIES: A CASE STUDY FROM EGYPT
• SEASONAL TRUCK VOLUME PATTERNS IN WASHINGTON STATE
• SERVICE LIVES AND COSTS OF LOCAL HIGHWAY MAINTENANCE AND REHABILITATION TREATMENTS
• SIMPLIFIED PAVEMENT PERFORMANCE MODELS
• STATE INCREMENT OPTIMIZATION METHODOLOGY FOR NETWORK-LEVEL PAVEMENT MANAGEMENT
• STATUS OF PAVEMENT MANAGEMENT SYSTEMS AND DATA ANALYSIS MODELS AT STATE HIGHWAY AGENCIES
• THERE ARE TWO CATEGORIES OF PMS ANALYSIS METHODS: REACTIVE AND GENERATIVE
• URMS: A GRAPHICAL URBAN ROADWAY MANAGEMENT SYSTEM AT NETWORK LEVEL