00798870

Component

https://doi.org/10.3141/1699-03

http://scholar.google.com...orge&publication_year=2000

In the selection of an economical treatment for rehabilitation of a deteriorated pavement section, decision makers usually encounter various situations. Factors affecting selection of a flexible pavement maintenance strategy may include distress conditions, traffic volume, and road class, among others. Traditionally engineers make their selection on the basis of their experience and judgment and past maintenance data. Experts' judgments are usually compromised in a group discussion to construct decision trees or decision matrices or even to develop knowledge-based expert systems. An artificial neural network is known to be an efficient technique for selection of an appropriate maintenance strategy. A genetic adaptive neural network training algorithm with a single hidden layer and sigmoid squashing function constitutes the network. The input vector represents the factors affecting maintenance strategy selection, and the output vector represents the appropriate maintenance strategy. A set of examples is derived from experts' judgments with a total of 144 cases randomly divided into "in-sample" and "out-of-sample" data for training and testing purposes, respectively. The trained network successfully predicted 83% of the test cases. The remaining 17% of cases were one or two levels away from the expert judgments used in network testing. Neural networks provide an efficient and optimum solution for such complex problems with the added advantage of faster implementation and easier updating than with other traditional techniques.

This paper appears in Transportation Research Record No. 1699, Pavement Management and Monitoring.

English

p. 16-22

2000

Transportation Research Record

0309066778

Figures (6) ; References (18) ; Tables (2)

Decision making; Expert evidence; Expert systems; Flexible pavements; Genetic algorithms; Neural networks; Pavement maintenance; Rehabilitation; Strategic planning

Design; Highways; Maintenance and Preservation; Pavements; I22: Design of Pavements, Railways and Guideways; I23: Properties of Road Surfaces; I61: Equipment and Maintenance Methods

TRIS, TRB, ATRI

Sep 7 2000 12:00AM

• ACCURACY OF WEATHER DATA IN LONG-TERM PAVEMENT PERFORMANCE PROGRAM DATABASE
• APPLYING ECONOMIC CONCEPTS FROM LIFE-CYCLE COST ANALYSIS TO PAVEMENT MANAGEMENT ANALYSIS
• DEVELOPING A QUANTITATIVE RATING SYSTEM FOR CONTINUOUSLY REINFORCED CONCRETE PAVEMENT
• DEVELOPMENT OF PAVEMENT TYPE EVALUATION PROCEDURE FOR TEXAS DEPARTMENT OF TRANSPORTATION
• EARLY EVALUATION OF LONG-TERM PAVEMENT PERFORMANCE SPECIFIC PAVEMENT STUDIES-2, COLORADO
• EVALUATION OF ACCURACY OF SURFACE PROFILERS
• EVALUATION OF RELATIONSHIP BETWEEN PROFILOGRAPH AND PROFILE-BASED ROUGHNESS INDEXES
• FORECASTING OF PAVEMENT CRACK PERFORMANCE WITH ADAPTIVE FILTER MODEL
• INCORPORATING ROAD SAFETY INTO PAVEMENT MANAGEMENT
• INVESTIGATION OF RELATIONSHIP BETWEEN ROUGHNESS AND PAVEMENT SURFACE DISTRESS BASED ON WESTRACK PROJECT
• LABORATORY CALIBRATION AND IN SITU MEASUREMENTS OF MOISTURE BY USING TIME-DOMAIN REFLECTOMETRY PROBES
• MECHANISTIC ROUGHNESS MODEL BASED ON VEHICLE-PAVEMENT INTERACTION
• PLANNING AND IMPLEMENTATION OF A MANAGEMENT SYSTEM FOR UTILITY CUTS
• PROPOSED PAVEMENT PERFORMANCE MODELS FOR LOCAL GOVERNMENT AGENCIES IN MICHIGAN
• PUBLIC PERCEPTIONS OF WISCONSIN PAVEMENTS AND TRADE-OFFS IN PAVEMENT IMPROVEMENT
• ROAD USER COST MODELS FOR NETWORK-LEVEL PAVEMENT MANAGEMENT
• SIMULATION MODEL FOR CALCULATING PAVEMENT TEMPERATURES INCLUDING MAXIMUM TEMPERATURE
• SOLUTION OF PAVEMENT DETERIORATION EQUATIONS BY GENETIC ALGORITHMS
• STRUCTURED APPROACH TO MANAGING QUALITY OF PAVEMENT DISTRESS DATA: VIRGINIA DEPARTMENT OF TRANSPORTATION EXPERIENCE
• USING DURATION MODELS TO ANALYZE EXPERIMENTAL PAVEMENT FAILURE DATA
• USING PAVEMENT MANAGEMENT SYSTEM CONCEPTS TO DETERMINE THE COST AND IMPACT OF UTILITY TRENCHING ON AN URBAN ROAD NETWORK