Macroscopic Optimum System for Management of Pavement Rehabilitation

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Journal Title, Volume, Page: 
Journal of Transportation Engineering, Volume 127, Issue 6 (December 2001)
Year of Publication: 
2001
Authors: 
Khaled A. Abaza
Dept. of Civ. Engrg., P.O. Box 14, Birzeit, West Bank, Palestine
Suleiman A. Ashur
Asst. Prof., Univ. of Texas at El Paso, Dept. of Civ. Engrg., El Paso, TX 79968
Sameer A. Abu-Eisheh
Department of Civil Engineering, Faculty of Engineering and Information Technology, An-Najah National University, Nablus. Palestine
Current Affiliation: 
Department of Civil Engineering, Faculty of Engineering and Information Technology, An-Najah National University, Nablus. Palestine
Amer Rabay’a
Birzeit Univ., Dept. of Civ. Engrg., P.O. Box 14, Birzeit, West Bank, Palestine
Preferred Abstract (Original): 

A macroscopic pavement management system has been designed to yield optimum pavement conditions under constrained budgets. The system can predict future pavement conditions from performance curves generated using the serviceability concept developed by the American Association of State Highways and Transportation Officials (AASHTO). The pavement performance curves are generated using an incremental analysis of the AASHTO basic design equation. The system then applies an effective optimum decision policy that aims toward maximizing the annual average network present serviceability index according to the expected outcomes of predefined major rehabilitation actions and subjects to budget constraints. In contrast to the microscopic approach that considers “short” pavement sections, the macroscopic approach to pavement management uses “long” pavement sections, i.e., projects. Each project is constructed of the same pavement structural section and possesses a unique performance curve. Pavement projects with similar performance trends are grouped into six classes with each class treated as a single entity. The system is particularly beneficial in establishing long-term pavement rehabilitation policies in terms of planning, scheduling, and budgeting.