The PCI of short-term condition was rated (very poor) with 220, 304, 278.Ġ0$ maintenance cost whereas the PCI of medium-term condition was rated (very poor) with 223, 283, 912. The study shows that the PCI of the existing conditions was rated as (very poor) with 2, 200, 996.
The updated Micro PAVER v.7.0.9 software was used for the assessment and prediction of the condition of highway pavement and maintenance cost for existing conditions (year of the study-2019), short-term conditions (2019-2023) and medium-term conditions (2019-2028). PAVER TM- The Pavement Maintenance Management System - originally was developed in the late 1970s to help the Department of Defense (DOD) manage M&R for its vast inventory of pavements.It uses inspection data and a pavement condition index (PCI TM) rating from zero (failed) to 100 (excellent) for consistently describing a pavements condition and for predicting its M&R needs many years into. Sampling procedure was selected randomly as input data required in to Micro PAVER computer software. The selected highway was divided to zone, branch and section.
In addition, it is based on the direct integration of Micro PAVER pavement software and ArcGIS mapping software.Ī case study of about 240 km of Desert highway was inspected to analyze the proposed PMMS.Ī visual survey was conducted on the field, condition analysis was done and decisions were executed by Micro PAVER software to determine maintenance needs, budgets, and priorities for present and future conditions.ĭesert highway is considered a major rural arterial consisting of two lanes in each direction with heavy traffic. The system developed has four major components: data collection, analysis, maintenance plan, and implementation. The main aim of this research is to develop a Pavement Maintenance Management System (PMMS), which provides a systematic process for maintaining, upgrading and operating the pavements and tools to facilitate a more flexible decision-making approach to meet the expectations of highway users. Initial from shortage in the documentation, weakness in the database and usage, the system was not sufficiently and not flexible to deal with defects.įinally, the system was not effectively helping decision maker in provide right decision.
Highways are both major parts of the transportation infrastructure in Jordan and play a significant role in the development of the local economy and community.Īfter Extensive study in this field, many problems were found. 7.0.9 DissertantĮngineering Project Management University Country This research also investigates the possibility of utilizing statistically produced models as a direct cost estimator given pavement condition data.تطوير نظام صيانة الأرصفة و إعاده تأهيل الطرق السريعة الصحراوية في الأردن باستخدام نظام Micro PAVER v. It was determined that each data set had varying results in terms of sensitive pavement distresses however the common sensitive distress in all of the data sets was that of alligator cracking/fatigue. The TAMS data sets consisted of a general linear regression model, while the Micro PAVER TM data sets consisted of an analysis of covariance model. These sample sets were then statistically modeled to determine the effect each distress variable had on the response produced by the economic analysis of estimated recommended M&R costs.ĭue to the different methodologies of pavement condition data collection, two different statistical approaches were utilized during the sensitivity analysis. This resulted in six total data sets for analysis, three entered and analyzed in TAMS and three entered and analyzed in Micro PAVER TM. The Micro PAVER TM software package developed by the Army Corps of Engineers consists of a data collection process composed of 20 asphalt pavement distress observations.Ī Latin-hypercube sample set was input into each software package, as well as actual local government pavement condition data for the City of Smithfield, Utah and the City of Tremonton, Utah. The Transportation Asset Management Software (TAMS) software package developed by the Utah LTAP Center at Utah State University consists of a data collection process composed of nine asphalt pavement distress observations. In this research, two pavement management system software packages with different data collection methods are analyzed on the common estimated recommended M&R cost provided by their respective economic analysis. However a general standard has yet to be set, enabling local governments to select from several methods of data collection. The incorporation of pavement management systems into software packages has enabled local governments to easily implement and maintain an asset management plan. The research presented in this thesis investigates the effect the data collection process has on the results of the economic analysis in pavement management systems.