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Analytical Hierarchy Process in Pavement Management Systems

Pietrzycki, James M
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1404499466

Abstract Details

2014, Master of Science, University of Toledo, Civil Engineering.
Roadways continually deteriorate and form cracks. These cracks can expand and cause problems for drivers. It is up to an engineer to decide what type of maintenance needs to be done on the roads. By using pavement management systems (PMS), the engineer can make an informed decision for road repair. Currently, analytical hierarchy process is not being used within the City of Toledo Engineering Services PMS. By adding this multi-criteria decision-making into the current system, the engineer can have an initial feasible solution without having to do much work. The current pavement management system involves GIS, Microsoft Excel, and network optimization. GIS contains the information of the cracks within the pavement, but is not used for much else at this point. A database of the roadways is stored in Microsoft Excel and is the primary use of PMS for the city. Network optimization was just introduced to the city and has not been fully implemented yet. While, Excel is a strong tool to use, GIS and network optimization can make the system stronger and more efficient. GIS can be a powerful tool to use for any PMS. Using the ModelBuilder within the program can do all of the PMS work in a short amount of time. Before AHP can be utilized, all of the criteria must be formed. A three-tier hierarchy was formed for this research. The first tier included pavement engineering factors, other engineering factors, and non-engineering factors. The tier below the first included the criteria that made up each of the factors that include traffic level, condition rating, utility projects planned, complaints/input, and roads near an important facility. GIS tools such as buffers and intersects helped create some of the data that was missing from the start. Once the criteria were established, pairwise comparisons were made to formulate the final weights for each criterion. This research integrated AHP into GIS by using the ModelBuilder to give the roadways weights. These weights helped dictate the results by taking the highest weights for each treatment type and assigning them to the budget until it was fulfilled. Network optimization was used to figure out what percentage of the budget would be used for each treatment. This tool uses a linear regression model and the Monte Carlo simulation to figure out how the roadways will deteriorate throughout the years. By placing an end goal, such as only wanting 10% of the roads to be in poor condition, the budget can be allocated to suggest how to improve the roads each year. A $1,000,000 budget was used and allocated in this study. After the roadways were selected, various situations were created to see how the results would differ from the initial solution. The data, AHP weights, the budget, network optimization percentages were all changed to form different results. Network optimization was also taken out for one of the results to see what would happen if you only used the highest weights. Depending on the user, many of these variables will change and it was shown that they could be easily made to form new results. AHP was able to aid in the selection of roadways and form logical results. However, the results should be used as a suggestion and should be further looked into to formulate a final result. The ease of tools of GIS, AHP, and network optimization should be used to make PMS more efficient for any governing city.
Eddie Chou (Advisor)
Peter Lindquist (Committee Member)
Cyndee Gruden (Committee Member)
84 p.
Civil Engineering; Transportation Planning
AHP; GIS; Pavement Management

Recommended Citations

Citations

  • Pietrzycki, J. M. (2014). Analytical Hierarchy Process in Pavement Management Systems [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1404499466

    APA Style (7th edition)

  • Pietrzycki, James. Analytical Hierarchy Process in Pavement Management Systems. 2014. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1404499466.

    MLA Style (8th edition)

  • Pietrzycki, James. "Analytical Hierarchy Process in Pavement Management Systems." Master's thesis, University of Toledo, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1404499466

    Chicago Manual of Style (17th edition)

toledo1404499466
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© 2014, some rights reserved.Creative Commons License Analytical Hierarchy Process in Pavement Management Systems by James M Pietrzycki is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Toledo and OhioLINK.