Background Information

Model Comparison

Compare benchmark results

Create a new model

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 their components.

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.