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Pavement management system for City of Madison.
  • Published Date:
    2016-11-01
  • Language:
    English
Filetype[PDF-3.33 MB]


Details:
  • Corporate Contributors:
  • Publication/ Report Number:
    MPC 16-314
  • Resource Type:
  • Geographical Coverage:
  • Corporate Publisher:
  • Format:
  • Abstract:
    This project aims to implement a pavement management system (PMS) for the City of Madison using

    four specific objectives: 1) build a city-wide GIS database for PMS compatible and incorporable with the

    city’s GIS system; 2) identify feasible pavement rehabilitation and maintenance (M&R) strategies for city

    roads; 3) recommend multi-year M&R plans for different budget scenarios; and 4) provide training for the

    city to continue using PMS with the updated pavement condition data.

    An accurate GIS database is the corner stone of this project, since data quality directly affects future

    pavement condition prediction and M&R budgeting. Based on Pubworks’ GIS maps, the updated and

    expanded GIS database for PMS application was produced and verified under a collaboration between the

    project team and the city. GIS database modifications include new attributes based on information

    retrieved from other sources, such as city CAD maps, new and modified roadway links with improved

    presentation, and PMS data dictionary. Pubworks GIS maps were manually edited by following the

    reliable road information. On-street parking, pavement thickness, and historical roadway improvements

    and maintenance activities were added to the database. The GIS database was then imported to the chosen

    PMS software MicroPAVER 1

    for further analysis.

    The city-wide pavement condition survey was conducted as part of the project. The survey found that

    nearly 60 percent of the current pavement in Madison can be considered as good (Pavement Condition

    Index (PCI) >70) according to the MicroPAVER PCI rating scale. The survey also found that the most

    common pavement distress types for asphalt pavement are longitudinal cracking, rutting, block cracking,

    and alligator cracking; and linear cracking, large patch/utility cut for concrete pavement.

    To forecast future pavement conditions, pavement performance models were developed for each of the

    five pavement categories: 1) full-depth pavement (asphalt concrete pavement without granular base); 2)

    thick pavement (5- to 10-inch asphalt concrete pavement with granular base); 3) thin pavement (2- to 5-

    inch asphalt concrete pavement with granular base); 4) composite pavement (asphalt overlay on top of

    Portland Cement Concrete Pavement (PCCP)); and 5) PCCP. Performance regression functions were

    created based on pavement age and pavement conditions for every category. It is recommended that

    performance functions be calibrated after each pavement condition survey. The survey can be conducted every two to four years, depending on the situation of pavement deterioration.

    M&R plans were analyzed using MicroPAVER based on various budget scenarios, including:

    1) the required budget to eliminate all major M&R backlog2

    ; 2) the required budget to maintain current

    pavement conditions; 3) no funding; and 4) the city’s current budget level. For this study, four types of

    M&R treatment were considered for each segment of roadway, including localized stopgap (safety),

    localized preventive treatment, global preventive treatment, and major repairs.

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