Optimization of Transportation Infrastructure System Performance with Autonomous Maintenance Technology in Work Zones

Work zones maintenance are essential to the efficiency and safety of transportation infrastructure system. A recent technology named autonomous maintenance technology (AMT) is gaining rapid attention to eliminate fatalities of Department of Transportation (DOT) employees in work zones. Traffic flow will redistribute in the network once the link performance function (LPF) is updated after maintenance, and thus the equilibrium travel time (ETT) will change accordingly. In an extreme example, Braess’s paradox, i.e. adding or improving one roadway segment may actually lead to a worse traffic condition, may be observed. This project aims to support DOT decision-makers to determine which road segment to prioritize for maintenance, with the goal of maximizing transportation system performance. To this end, a user equilibrium (UE) model will be developed to quantify the impact of roadway segment maintenance. A bush-based algorithm will be developed to solve the UE traffic assignment. Sensitivity analysis will then be conducted to compute the marginal cost of ETT. Last but not the least, maintenance priority will be suggested to DOT to avoid the Braess’s paradox and maximize the transportation infrastructure system performance.

Language

• English

Project

• Status: Completed
• Funding: $170000
• Contract Numbers:

  69A3551747107

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Mid-America Transportation Center

  University of Nebraska-Lincoln
  2200 Vine Street, PO Box 830851
  Lincoln, NE  United States  68583-0851
• Project Managers:

  Stearns, Amy

• Performing Organizations:

  Missouri University of Science & Technology, Rolla

  Department of Engineering
  202 University Center
  Rolla, MO    65409
• Principal Investigators:

  Hu, Xianbiao

  Kwasa, Benjamin

  Corns, Steve

• Start Date: 20210101
• Expected Completion Date: 20220630
• Actual Completion Date: 20240630
• USDOT Program: University Transportation Centers
• Source Data: RiP Project 91994-90

Subject/Index Terms

• TRT Terms: Algorithms; Construction scheduling; Maintenance management; Optimization; Sensitivity analysis; Technological innovations; Traffic assignment; Travel time; Work zones
• Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors;

Filing Info

• Accession Number: 01762016
• Record Type: Research project
• Source Agency: Mid-America Transportation Center
• Contract Numbers: 69A3551747107
• Files: UTC, RIP
• Created Date: Jan 7 2021 1:49PM