Implementation of New Pavement Performance Prediction Models in PMIS: Report
Author(s):
N.G. Gharaibeh, S. Saliminejad, A.J. Wimsatt, A. Weissmann, J. Weissmann, C.M. Chang-Albitres
Publication Date:
November 2012
Abstract:
Pavement performance prediction models and maintenance and rehabilitation (M&R) optimization processes enable managers and engineers to plan and prioritize pavement M&R activities in a cost-effective manner. This report describes TxDOT's efforts to implement and improve these capabilities in the Pavement Management Information System (PMIS). Specifically, this report describes the processes and results of (a) introducing the new performance prediction models (developed in Project 0-6386) to TxDOT engineers and managers through a webinar workshop, (b) assessing the reasonableness of these models through an online survey and follow-up interviews with TxDOT engineers and managers, and (c) evaluating the PMIS optimization procedure. In most cases, the new pavement performance prediction models were found reasonable by TxDOT pavement practitioners. No major errors were found in the code of the PMIS optimization process. Minor discrepancies were found between the output of PMIS and the output of a replicate of the PMIS optimization process (developed by the researchers); suggesting that the needs analysis and the Ride Score models in PMIS may require further evaluation and improvement.
Report Number:
5-6386-01-1
Electronic Link(s):
Document/Product
http://tti.tamu.edu/documents/5-6386-01-1.pdf
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