摘要: |
This project was to enhance the Alabama Department of Transportation (ALDOT) Alabama Bridge Information Management System (ABIMS) by providing budget and network-level rating forecasts given specified rehabilitation and/or replacement actions. This project was to extend the usefulness of ABIMS to allow bridge maintenance analysts to examine alternative future bridge replacement decisions by assessing the potential impact of varying annual maintenance budgets and annual maintenance costs. Thus, this project was to provide data intensive modeling to support: Quantitative decision planning through the use of alternative rating systems (Sufficiency, Deficiency, and GASB metrics); Analysis of bridge sets based on an extensive set of filters (funding limits, route type, geographic location, division, type of maintenance action, and other exclusionary constraints); Report generation for network-level maintenance assessments; and Predicted bridge network ratings and improvements costs. |