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The Scientific World Journal
Volume 2014 (2014), Article ID 524329, 11 pages
Research Article

An Iterative Approach for the Optimization of Pavement Maintenance Management at the Network Level

1Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain
2Escuela de Ingeniería, Departamento de Ingeniería y Gestión de la Construcción, Pontificia Universidad Católica de Chile, Avenida Vicuña Mackenna 4860, Edificio San Agustín, Piso 3, 7820436 Santiago, Chile
3ICITECH, Department of Construction Engineering, Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain

Received 28 November 2013; Accepted 3 February 2014; Published 11 March 2014

Academic Editors: R. Beale, S. B. Coskun, S. S. Seyedalizadeh, and Z. Tao

Copyright © 2014 Cristina Torres-Machí et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Pavement maintenance is one of the major issues of public agencies. Insufficient investment or inefficient maintenance strategies lead to high economic expenses in the long term. Under budgetary restrictions, the optimal allocation of resources becomes a crucial aspect. Two traditional approaches (sequential and holistic) and four classes of optimization methods (selection based on ranking, mathematical optimization, near optimization, and other methods) have been applied to solve this problem. They vary in the number of alternatives considered and how the selection process is performed. Therefore, a previous understanding of the problem is mandatory to identify the most suitable approach and method for a particular network. This study aims to assist highway agencies, researchers, and practitioners on when and how to apply available methods based on a comparative analysis of the current state of the practice. Holistic approach tackles the problem considering the overall network condition, while the sequential approach is easier to implement and understand, but may lead to solutions far from optimal. Scenarios defining the suitability of these approaches are defined. Finally, an iterative approach gathering the advantages of traditional approaches is proposed and applied in a case study. The proposed approach considers the overall network condition in a simpler and more intuitive manner than the holistic approach.