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

    Access Status
    Fulltext not available
    Authors
    Akanmu, A.
    Olatunji, O.
    Love, P.
    Nguyen, D.
    Matthews, Jane
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Akanmu, A. and Olatunji, O. and Love, P. and Nguyen, D. and Matthews, J. 2015. Auto-generated site layout: an integrated approach to real-time sensing of temporary facilities in infrastructure projects. Structure and Infrastructure Engineering. 12 (10): pp. 1243-1255.
    Source Title
    Structure and Infrastructure Engineering
    DOI
    10.1080/15732479.2015.1110601
    ISSN
    1573-2479
    School
    Department of Construction Management
    URI
    http://hdl.handle.net/20.500.11937/38328
    Collection
    • Curtin Research Publications
    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.

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