Auto-generated site layout: an integrated approach to real-time sensing of temporary facilities in infrastructure projects

Article

Akanmu, Abiola, Olatunji, Oluwole, Love, Peter E. D., Nguyen, Duy and Matthews, Jane. 2015. "Auto-generated site layout: an integrated approach to real-time sensing of temporary facilities in infrastructure projects." Structure and Infrastructure Engineering: maintenance, management, life-cycle design and performance. 12 (10), pp. 1243-1255. https://doi.org/10.1080/15732479.2015.1110601
Article Title

Auto-generated site layout: an integrated approach to real-time sensing of temporary facilities in infrastructure projects

ERA Journal ID41113
Article CategoryArticle
AuthorsAkanmu, Abiola (Author), Olatunji, Oluwole (Author), Love, Peter E. D. (Author), Nguyen, Duy (Author) and Matthews, Jane (Author)
Journal TitleStructure and Infrastructure Engineering: maintenance, management, life-cycle design and performance
Journal Citation12 (10), pp. 1243-1255
Number of Pages13
Year2015
PublisherTaylor & Francis
Place of PublicationUnited Kingdom
ISSN1573-2479
1744-8980
Digital Object Identifier (DOI)https://doi.org/10.1080/15732479.2015.1110601
Web Address (URL)https://www.tandfonline.com/doi/full/10.1080/15732479.2015.1110601
Abstract

The use of computational algorithms is popular in method studies, especially in the aspects of knowledge that relates to construction site layout modelling. However, extant approaches in these seldom support automated tracking of construction resources and available spaces. As a result, it is often time-consuming and subjective to autogenerate site layouts. This paper describes the development and implementation of a component-level system that is capable of generating site layouts automatically. The system involves the integration of building information models, genetic algorithm and a radio frequency identification system that has the capability to report object locations in real time. System and software architectures are presented to illustrate the enabling technologies, subsystems and software that are required to facilitate the developed system. A case study is also presented to demonstrate the functionality of the developed system. The practical implication of this research is such that the reported findings builds on gaps in previous scholarly work to develop a system that models site layouts and the associated costs automatically. Findings from the study also facilitate both early signalling of pending delays and their immediate recovery protocols.

KeywordsBuilding information modelling; Genetic algorithm; Radio frequency identification; Real-time location-sensing system; Site layout modelling
ANZSRC Field of Research 2020330299. Building not elsewhere classified
330207. Quantity surveying
330203. Building industry studies
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Byline AffiliationsWestern Michigan University, United States
Curtin University
Institution of OriginUniversity of Southern Queensland
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