Welcome to the Pavement Analysis Comparison Website
This site can be used to evaluate and compare predictive capabilities
of statistical performance models estimated with data from the AASHO Road Test.
You can create and modify models and compare them to a
set of prespecified benchmark models.
Please use the menu on the
left to learn more about the data and models and to create, modify, run, and compare models.
Introduction and Objectives of Web Site
Performance models can be used to assess current needs, forecast (the
effect of interventions/investments on) future condition, the remaining
service-life or time-to-failure distribution of infrastructure facilities and
Although there have been significant developments in statistics and in
computer availability to facilitate numerous new techniques to estimate
pavement models under different structural assumptions, the efforts have been
disconnected and there is a lack of standards/criteria for the development,
utilization, evaluation and selection of performance models. This site is one of the first of its kind to
build an online platform, repository, and test-bed to facilitate the exchange
of data and information related to pavement performance models.
Additional highlights of the web site include:
It serves as a central, reliable source of
relevant data and information.
It provides on-line access to a test-bed that
allows users to evaluate the capabilities of your own models.
It advances infrastructure performance modeling
since the user is able to build and benefit form existing knowledge (rather
than starting from scratch).
The users are able to assess and compare yours
assumptions and models against well-established, state-of-the-art benchmarks.
Currently, the web site uses data from the AASHO
Road Test, and models where the dependant variable corresponds
to the Present Serviceability Index. The
data set was chosen because it is of high quality and is still widely used in
the development of state-of-the-art performance models and pavement design
standards in the United States (and elsewhere) are largely based on data
collected during this study.