摘要: |
TxDOT’s Pavement Management Information System (PMIS) has been recently replaced by PavementAnalyst (PA), a system for archiving, managing, and mapping data; reporting performance prediction;conducting optimization analysis for decision-making, etc. Pavement performance models comprise a keycomponent of PA; these models quantify pavement deterioration for the planned horizon and predict the effectof maintenance and rehabilitation actions on performance. The accurate prediction of pavement performance isimportant for efficient management of the transportation infrastructure. By reducing the prediction error ofpavement deterioration, agencies can obtain significant savings through timely intervention and accurateplanning. As part of this project, the authors reviewed the current performance models, calibrated them, andupdated them in a manner compatible with their implementation into PA. Extensive data analysis wasconducted by using traditional and advanced data analysis techniques. Specifically, the models developedaddressed the following technical objectives: 1) existing models were calibrated, correcting for biases andinefficiencies; 2) models were updated to incorporate historical construction data; 3) models were updated toincorporate the effect of maintenance and rehabilitation activities; and 4) alternative models were proposed thatare free of some of the limitations of the existing models but are simple and straightforward enough toincorporate into PA. |