A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Estimating Flexible Pavement Maintenance and Rehabilitation Fund Requirements for a Transportation Network
In the early 1980's the Texas State Department of Highways and Public Transportation implemented its Pavement Evaluation System. The system was designed to (a) document trends in network condition and (b) generate a one year estimate of rehabilitation funding. The information generated by the system has been used for many purposes including funding request, project prioritization and documenting the consequences of changes in funding levels. However, a limitation of the system was its inability to project future conditions and make multi-year needs estimates. This is the subject of the report. Regression equations were built for each major distress type from a pavement data base containing a 10 year history of condition trends from over 350 random sections in Texas. These equations were used to age individual sections which did not qualify for maintenance or rehabilitation in a particular year. A simple decision tree was developed to estimate the maintenance requirements if rehabilitation is not warranted. The decision tree represents the opinions of experienced maintenance engineers. A case study and sensitivity analysis are presented.
Estimating Flexible Pavement Maintenance and Rehabilitation Fund Requirements for a Transportation Network
In the early 1980's the Texas State Department of Highways and Public Transportation implemented its Pavement Evaluation System. The system was designed to (a) document trends in network condition and (b) generate a one year estimate of rehabilitation funding. The information generated by the system has been used for many purposes including funding request, project prioritization and documenting the consequences of changes in funding levels. However, a limitation of the system was its inability to project future conditions and make multi-year needs estimates. This is the subject of the report. Regression equations were built for each major distress type from a pavement data base containing a 10 year history of condition trends from over 350 random sections in Texas. These equations were used to age individual sections which did not qualify for maintenance or rehabilitation in a particular year. A simple decision tree was developed to estimate the maintenance requirements if rehabilitation is not warranted. The decision tree represents the opinions of experienced maintenance engineers. A case study and sensitivity analysis are presented.
Estimating Flexible Pavement Maintenance and Rehabilitation Fund Requirements for a Transportation Network
A. Stein (author) / T. Scullion (author)
1988
202 pages
Report
No indication
English
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