Final Report (PDF)
Tech Brief (PDF)
Project Title | Optimization Framework for Infrastructure Management Considering Traffic Safety Costs |
University | Penn State |
Principal Investigator(s) | S. Ilgin Guler (PI, Penn State); Rajesh Paleti (co-PI, Penn State); Vikash V. Gayah (co-PI, Penn State) |
PI Contact Information | Sig123@psu.edu |
Funding Source(s) and Amounts Provided (by each agency or organization) | Federal Share — $96,983 Match — $97,000 |
Total Project Cost | $193,983 |
Start and End Dates | 06/01/2020—12/01/2021 |
Brief Description of Research Project | The goal of this project is to develop a multi-objective optimization for IMS that can optimize MR&R decisions while simultaneously considering agency costs, total vehicle operating costs, and costs associated with safety performance. To do so, models that relate safety 3 (e.g., crash outcomes) to the roadway condition (e.g., IRI or overall pavement index) will be developed for Pennsylvania, and then used as input into a newly developed multi-objective optimization framework that utilizes a Markov Decision Process based on linear programming. The results will be compared to the two traditional approaches (an optimization where all costs are converted to dollar values and a bi-objective optimization, both excluding safety performance) to identify how MR&R decisions change when considering their impact on safety. If successful, this project can optimize how DOTs can utilize existing budgets for infrastructure management, as well as potentially expand the budget for MR&R activities. |