Development of Performance Models Based on Department of Transportation Pavement Management System Data

1999 ◽  
Vol 1684 (1) ◽  
pp. 215-222 ◽  
Author(s):  
Adam J. Hand ◽  
Peter E. Sebaaly ◽  
Jon A. Epps
Keyword(s):  
Management System ◽  
Pavement Management ◽  
Department Of Transportation ◽  
Performance Models ◽  
Pavement Management System ◽  
System Data

Use of Pavement Management System Data to Monitor Performance of Pavements under Warranty

2005 ◽  
Vol 1940 (1) ◽  
pp. 21-31 ◽  
Author(s):  
L. B. Wang ◽  
JinYoung Park ◽  
Sonya H. Hill
Keyword(s):  
Management System ◽  
Pavement Management ◽  
Pavement Management System ◽  
Warranty Period ◽  
Expert Opinions ◽  
Remedial Actions ◽  
Technical Issues ◽  
System Data ◽  
Pavement Construction ◽  
Innovative Contracting

Pavement warranty is an innovative contracting procedure increasingly adopted by highway agencies. Many states view implementing warranties as a way to protect their investment in pavement construction. The major benefit of pavement warranty is enhanced pavement performance. However, establishing warranty criteria and monitoring the performance of warranted pavement are two technical issues that must be resolved. This paper presents the discoveries of a research project supported by FHWA to investigate the effectiveness of using the pavement management system (PMS) to monitor the performance of pavement under warranty. It has been discovered that most states establish their warranty specifications on the basis of performance data from their PMS database by using statistical analyses, expert opinions, and adaptation of other states’ specifications. They also use the PMS data to monitor the performance of both warranty and nonwarranty pavements because the essential data, like ride, cracking, and rutting, are available in the database and are convenient for use. This paper also documents the unique features of the warranty specifications, including the warranty period, performance indicators, data collection methods, performance thresholds, remedial actions, and how the PMS database can be used to track the performance of pavements under warranty in five states: Indiana, Wisconsin, Ohio, Florida, and Michigan. Some comparisons of the performances of the warranted pavements and those of nonwarranted pavements of similar conditions are also presented. The survey indicated that an integrated PMS that links the materials and traffic database would offer better efficiency to monitor and analyze the performance of both warranty and nonwarranty pavements.

Development of Adaptive Performance Models for Oklahoma Airfield Pavement Management System

2003 ◽  
Vol 1853 (1) ◽  
pp. 44-54 ◽  
Author(s):  
Jie Yuan ◽  
Michael A. Mooney
Keyword(s):  
Management System ◽  
Condition Index ◽  
Pavement Management ◽  
General Aviation ◽  
Portland Cement Concrete ◽  
Performance Models ◽  
Pavement Management System ◽  
Pavement Condition ◽  
Maintenance And Rehabilitation ◽  
The Family

The Oklahoma airfield pavement management system (APMS) is a set of pavement management tools that can assist with pavement condition evaluation, as well as prioritization and scheduling of pavement maintenance and rehabilitation activities. Pavement performance models were developed to support the APMS for more than 70 Oklahoma general aviation airports. The family modeling method based on the pavement condition index was tailored to fit the deterioration characteristics of these airfield pavements. The statistical and engineering significance of seven levels of pavement factors was investigated, and pavement factors that affect pavement deterioration significantly were identified as family variables. Asphalt concrete pavement families were formed by sorting pavement function, distress cause, and pavement thickness, while portland cement concrete pavements were divided into families according to pavement function and climate zone. The family polynomial curves were able to reveal the expected deterioration patterns and are logical in engineering principle. Rooted by an adaptive database, the system accepts expert opinion and automatically integrates effects of major maintenance and rehabilitation activities into modeling. From the up-to-date database, the performance models update forecasts automatically.

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