Multi-Objective Decision Analysis and Optimization Model for Transportation Investment Decision-Making at MDOT

Fair and objective resource allocation is key to effective transportation asset management. Given resource constraints, Michigan Department of Transportation (MDOT) must invest in projects that simultaneously improve asset condition, safety, accessibility, and mobility. To optimize decisionmaking, it is critical to forecast the short-and long-term impacts of these projects on system performance, as well as the tradeoffs of deferring investments in other competing areas to a later time. This project is intended to develop a performance-based approach and model to advise decision-making for the highway capital program, where available data can be analyzed to prioritize projects by considering multiple agency objectives, as well as factors such as cross-asset impacts, mobility, risk, environmental impacts, equitable benefits distribution, safety and condition targets, and financial constraints. Public and private market software that utilize this approach are available and used in a variety of business settings, including by transportation agencies, but vary widely in method. It is therefore vital to first understand how these methods vary in their benefit, and how they could improve and integrate with decision-making processes at MDOT. Once a core approach has been established, consistent with needs and MDOT’s mission, a broader decision-making model that address the issues outlined above can be developed.

Language

• English

Project

• Status: Active
• Sponsor Organizations:

  Michigan Department of Transportation

  Van Wagoner Building
  425 W. Ottawa Street
  Lansing, MI  United States  48909
• Performing Organizations:

  Spy Pond Partners, LLC

  Arlington, MA  United States 
• Principal Investigators:

  Robert, William

• Start Date: 20240130
• Expected Completion Date: 20260130
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Asset management; Decision making; Highways; Investments; Software; Transportation planning
• Identifier Terms: Michigan Department of Transportation
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01924895
• Record Type: Research project
• Source Agency: Michigan Department of Transportation
• Files: RIP, STATEDOT
• Created Date: Jul 22 2024 11:32AM