application of artificial intelligence for optimization in pavement management

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ID: 259336
2015
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Abstract
Artificial intelligence (AI) is a group of techniques that have quite a potential to be applied to pavement engineering and management. In this study, we developed a practical, flexible and out of the box approach to apply genetic algorithms to optimizing the budget allocation and the road maintenance strategy selection for a road network. The aim is to provide an alternative to existing software and better fit the requirements of an important number of pavement managers. To meet the objectives, a new indicator, named Road Global Value Index (RGVI), was created to contemplate the pavement condition, the traffic and the economic and political importance for each and every road section. This paper describes the approach and its components by an example confirming that genetic algorithms are very effective for the intended purpose.
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salini2015internationalapplication Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Reus Salini;Bugao Xu;Carl Anders Lenngren
Journal Iranian journal of psychiatry
Year 2015
DOI
DOI not found
URL
http://sparc.nfu.edu.tw/~ijeti/download/V5-no3-189-197.pdf
Keywords
artificial intelligence genetic algorithms pavement engineering civil engineering (general) pavement managementtechnologyengineering (general)

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