A bottom-up optimal pavement resurfacing solution approach for large-scale networks

Nakul Sathaye, Samer Madanat

    Research output: Contribution to journalArticle

    Abstract

    Pavement management systems have been implemented across the world by transportation agencies in recent decades. To support these applications, increasingly sophisticated methods have been developed to model pavement deterioration and solve for optimal management strategies. Recently a simpler optimization approach for the system-level resurfacing problem has been developed, which is bottom-up rather than top-down, preserving facility-specific features to develop informative budget allocation results (. Sathaye and Madanat, 2011). In this paper we expand upon and enhance this approach for application to large-scale, heterogeneous road networks. The methodological enhancements allow for the approach to be applied to a broader spectrum of real-world problems and efficiently for large-scale networks. These developments are implemented and presented in a case study which uses empirical models. The results are shown to be robust to deterioration model uncertainty, which is consistent with previous findings for small networks and single facilities.

    Original languageEnglish (US)
    Pages (from-to)520-528
    Number of pages9
    JournalTransportation Research Part B: Methodological
    Volume46
    Issue number4
    DOIs
    StatePublished - Jan 1 2012

    Fingerprint

    Pavements
    Deterioration
    road network
    management
    budget
    uncertainty
    Uncertainty

    Keywords

    • Life-cycle costs
    • Multiple facilities
    • Network
    • Optimization
    • Pavement management systems
    • Pavement resurfacing

    ASJC Scopus subject areas

    • Civil and Structural Engineering
    • Transportation

    Cite this

    A bottom-up optimal pavement resurfacing solution approach for large-scale networks. / Sathaye, Nakul; Madanat, Samer.

    In: Transportation Research Part B: Methodological, Vol. 46, No. 4, 01.01.2012, p. 520-528.

    Research output: Contribution to journalArticle

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