The problem of selecting suitable segments for treatment in a pavement management system is complex because pavements exhibit considerable spatial variability in performance. This paper presents an algorithm for grouping small segments with uniform performance into large segments that are appropriate for a construction project. The algorithm works across lanes and along the traveled way and uses multiple years of predicted treatments rather than raw information on condition. A series of subprocedures is used to do the grouping, which is centered on a statistical approach to joining adjacent segments. A final treatment that is based on the treatments that were merged into the group is recommended, although the larger segments can also be used in the pavement management system, with aggregated performance, for optimization and project selection.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Grouping Pavement Segments to Form Realistic Projects


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2019-04-04




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Bundling or Grouping Pavement and Bridge Projects: Analysis and Strategies

    Xiong, Yingge / Fricker, Jon D. / Labi, Samuel | Transportation Research Record | 2017


    Tracking and grouping 3D line segments

    Zhang, Z. / Faugeras, O.D. | IEEE | 1990


    Perceptual Grouping of Contour Segments Using Markov Random Fields

    Ackermann, F. / Massmann, A. / Posch, S. et al. | British Library Online Contents | 1997


    Grouping of Rectilinear Segments by the Labeled Hough Transform

    Foresti, G. / Murino, V. / Regazzoni, C. S. et al. | British Library Online Contents | 1994


    Virginia Quieter Pavement Demonstration Projects

    McGhee, Kevin K. / de León Izeppi, Edgar David / Flintsch, Gerardo W. et al. | Transportation Research Record | 2013