A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Implementation of New Pavement Performance Prediction Models in PMIS: Report
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 TxDOTs 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.
Implementation of New Pavement Performance Prediction Models in PMIS: Report
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 TxDOTs 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.
Implementation of New Pavement Performance Prediction Models in PMIS: Report
N. Gharaibeh (author) / A. Wimsatt (author) / S. Saliminejad (author) / J. R. Menendez (author) / A. J. Weissmann (author)
2012
86 pages
Report
No indication
English
Designing Information Model for the Project Management Information System (PMIS): A Case Study
| British Library Conference Proceedings | 2002
| British Library Online Contents | 2007