Optimizing the Rehabilitation Efforts of Aging Transportation Networks
Publication: Journal of Construction Engineering and Management
Volume 138, Issue 4
Abstract
Major roads and bridges in the United States are aging and deteriorating, which is causing significant human and economic losses. The required investments to rehabilitate these transportation networks exceed available funds and budgets. The rehabilitation efforts of these aging networks, therefore, need to be optimized to maximize their net benefits and reduce the effect of construction works on the traveling public. This paper presents the development of an innovative model aimed at aiding decision makers in planning and optimizing highway rehabilitation programs. This model provides new and unique capabilities, which include: allocating limited financial resources to competing highway rehabilitation projects, measuring the effect of rehabilitation efforts on network performance and road user savings, analyzing the expected benefits and costs of rehabilitation programs, and generating optimal tradeoffs between maximizing rehabilitation benefits and minimizing network service disruption using a genetic algorithm (GA)-based optimization module. An application example is analyzed to evaluate the performance of the proposed model and demonstrate its capabilities in identifying a wide range of optimal rehabilitation programs, in which each provides a unique and nondominated tradeoff between maximizing rehabilitation benefits and minimizing service disruption. This allows decision makers in departments of transportation to select and implement the rehabilitation programs that address their specific societal needs.
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Acknowledgments
This material is based on work supported by the National Science Foundation under NSF CAREER Award No. CMS 0238470 and Award No. CMS 0626066. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the writers and do not necessarily reflect the views of the National Science Foundation.
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Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 138 • Issue 4 • April 2012
Pages: 529 - 539
Copyright
© 2012. American Society of Civil Engineers.
History
Received: Sep 21, 2010
Accepted: Jul 1, 2011
Published online: Jul 4, 2011
Published in print: Apr 1, 2012
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