Details:

Creators:
Qin, Xiao ; He, Zhaoxiang ; Wang, Hao
Qin, Xiao ; He, Zhaoxiang ; Wang, Hao Less -
Corporate Creators:
Mountain-Plains Consortium
Corporate Contributors:
United States. Department of Transportation. University Transportation Centers (UTC) Program
Subject/TRT Terms:
[+]
City Planning Maintenance Management Pavement Management Systems Spatial Analysis
Publication/ Report Number:
MPC 16-314
Resource Type:
Tech Report
Geographical Coverage:
Wisconsin
Corporate Publisher:
Mountain-Plains Consortium
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.
Format:
PDF
Collection(s):
University Transportation Centers
Main Document Checksum:
[+]
urn:sha256:c3359e9f0d9db06b08051a805a64fab2431e9de8f7bebcafc0a465aae8704fe7
Download URL:
https://rosap.ntl.bts.gov/view/dot/31688/dot_31688_DS1.pdf
File Type:

Supporting Files

• mpc16-314.pdf

  pdf

More +