Roads Performance Modeling and Management System from Two Condition Data Points: Case Study of Costa Rica
Publication: Journal of Transportation Engineering
Volume 135, Issue 12
Abstract
Initial implementation of a road management system will typically face the challenge of a lack of time-series data for performance modeling. This paper presents one approach for developing initial performance prediction models that are required to support trade-off and optimization analyses in a road management system. The paper demonstrates that starting performance models can be formulated based on as little as 2 years’ network-level data on condition and traffic. The paper builds a locally calibrated pavement condition index and subsequently uses it for network-level strategic planning and programming of works. The paper demonstrates a method of extracting initial estimates of treatments’ effectiveness from the condition data. The case study is based on the Costa Rican national road network. The model uses commercial software to allocate resources and optimize decisions. Several investment strategies were tested to investigate the sustainability of the road network value over time. The results demonstrate that optimization improves road conditions in a sustainable manner, which in the long run releases funds for other necessities.
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Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 135 • Issue 12 • December 2009
Pages: 999 - 1007
Copyright
© 2009 ASCE.
History
Received: Mar 24, 2009
Accepted: Jun 9, 2009
Published online: Jun 13, 2009
Published in print: Dec 2009
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