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Computational Science, Engineering & Technology Series
ISSN 1759-3158
Edited by: Y. Tsompanakis, P. Iványi and B.H.V. Topping
Chapter 4

Optimizing the Impact of Pavement Maintenance Decisions on Road Network Sustainability

A.P. Chassiakos, E. Konstantinou and N. Moschonas

Department of Civil Engineering, University of Patras, Greece

Full Bibliographic Reference for this chapter
A.P. Chassiakos, E. Konstantinou, N. Moschonas, "Optimizing the Impact of Pavement Maintenance Decisions on Road Network Sustainability", in Y. Tsompanakis, P. Iványi and B.H.V. Topping, (Editors), "Civil and Structural Engineering Computational Methods", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 4, pp 61-87, 2013. doi:10.4203/csets.32.4
Keywords: road sustainability, pavement condition, environmental impacts, social impacts, CO2 emissions, pavement maintenance, pavement management, optimization.

A key challenge for the transportation community worldwide is the development of a sustainability framework for the operation and maintenance of transport infrastructure projects. The sustainability perspective copes with the efficient use of resources, the sensitivity to environmental and social constraints, and the fairness to people living in different places and at different times. The main objective of this paper is to describe the dynamic impact of road pavement condition on economic, social, and environmental indicators for the purpose of developing robust optimization models for sustainable road network management. These impacts include travel delays and vehicle operating costs, accidents, accessibility and social integration, fuel consumption, air pollution arising from vehicle emissions, natural resource depletion and ecological impacts. The paper presents and analyses several aspects of the problem: existing tools and methodologies, and new research directions for sustainable maintenance management of road networks. Methods and indices to evaluate pavement defects and assess overall rolling condition of road segments are presented. Mathematical models for pavement performance prediction are described. Past research of quantification and evaluation of environmental, social and economic impacts associated with road and pavement condition is discussed. An analysis of optimization methods for maintenance prioritization and resource allocation is further provided. Finally, future needs and challenges for sustainable road infrastructure growth and management are summarized.

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