الفهرس 
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Abstract
Introduction:In Egypt road networks are expanding rapidly as part of asset infrastructure build up. Maintenance and Rehabilitation (M&R) programs for these networks require complete implementation of pavement management system (PMS) that manage all related tasks. A Pavement management system (PMS) is a set of tools or methods that assist decision makers in finding optimum strategies for providing and maintaining pavements in a serviceable condition over a given period of time.
The research problem: When pavement is in service, the traffic loads and environment would deteriorate it. Therefore, an amount of funds would be invested to maintain it in an adequate condition to perform its role. If available funds are sufficient, the pavement sections whose condition states are below minimum acceptable serviceability level will get maintenance and rehabilitation in time. However, lack of funding often limits timely repairs and rehabilitation of the pavement. Therefore, the decision making of pavement management is the problem on how to gain maximum condition with minimum costs.
And then the research aims: Developing a comprehensive PMS that meets the conditions and specifications of Egyptian road networks. Introducing a method for optimizing the M&R decisions using multi-objective Genetic Algorithms considering available budgeted cost and roads network conditions; and Developing a computerized tool to facilitate the use of the proposed model.
Steps of study: Presenting the elements of Pavement Management System. Studying the relevant literature. Developing a condition assessment module to assess the current condition of roads network. Building a performance prediction model using Markov model. Developing a multi-objective optimization model using Genetic Algorithms to prioritize road networks for repair and to optimally allocate the limited funds. Developing a computerized system for using the proposed model, and Presenting a case study that illustrates the use of the proposed model.
The study concludes: Condition assessment facilitates the ongoing estimation and tracking of roads asset condition. The lack of reliable condition data is a tremendous impediment to any asset management program. The application of this model is an important step that will help decision makers to improve the roads condition in Egypt. Genetic Algorithm was found to be an efficient tool to deal with such a computationally complex problem. The optimal solutions of this two-objective optimization model can provide the decision makers the maintenance and rehabilitation planning with maximum condition and minimum action costs.