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    Developing a road performance index using a Bayesian belief network model

    Access Status
    Fulltext not available
    Authors
    Ismail, Mohamed
    Sadiq, R.
    Soleymani, H.
    Tesfamariam, S.
    Date
    2011
    Type
    Journal Article
    
    Metadata
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    Citation
    Ismail, M. and Sadiq, R. and Soleymani, H. and Tesfamariam, S. 2011. Developing a road performance index using a Bayesian belief network model. Journal of the Franklin Institute. 348 (9): pp. 2539-2555.
    Source Title
    Journal of the Franklin Institute
    DOI
    10.1016/j.jfranklin.2011.07.015
    ISSN
    0016-0032
    School
    Curtin Malaysia
    URI
    http://hdl.handle.net/20.500.11937/62108
    Collection
    • Curtin Research Publications
    Abstract

    There is a high demand to develop and incorporate decision support tools, by the transportation sectors and other concerned agencies, to improve their infrastructure assets management under shrinking budgets and increasing demands. This paper develops a proof-of-concept Bayesian belief network (BBN) model to rank roads in a network system based on several key performance indicators (KPI) using a probabilistic framework. For a given road network, the proposed tool is capable of ranking or prioritizing the segment of roads for high level management objectives. To demonstrate the application of the proposed model, various scenarios are elaborated and discussed in detail. Finally, the sensitivity analysis is carried out to evaluate the effects of different KPIs. © 2011 The Franklin Institute.

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