Roadway Rehabilitation, Improvement, and Protection with Equitable Services in a Future with Climate Change—AI-Based Learning and Optimization

In this project, we will build on knowledge gained from this earlier work and our expertise in artificial intelligence (AI), stochastic optimization, and Markovian processes to develop a practical, deployable tool to support decision-makers not only in long-term investment planning but also short-term maintenance and rehabilitation activities that are equally important to protecting our roadways and other critical infrastructure components and lifelines. The developed tool will also account for societal costs due to changes in demographics and land use from SLR, long-term effects of flooding resettlement, and other societal and economic challenges. The work has three key objectives: 1- Development of a multi-objective, meta-simulation framework that can be used to evaluate the life-cycle cost and economic benefits for specific rehabilitation and/or infrastructure climate protection policies. 2- Development of metrics, including equity-inspired metrics, to capture the current infrastructure serviceability level and detect and emphasize deteriorated conditions of roadway segments and infrastructure installations/land-use changes that may positively or negatively impact road users and local inhabitants inequitably across different socioeconomic groups; and 3- Development of AI-based learning and optimization methods for determination of optimal roadway system rehabilitation and improvement policies, utilizing the meta-simulation framework, while considering feasible alternate options.

  • Supplemental Notes:
    • VTIFED/MATCH75000/75000GMUFED/MATCH37500/37500

Language

  • English

Project

  • Status: Active
  • Funding: $225000
  • Contract Numbers:

    69A3551847103

  • 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:

    Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS)

    Pennsylvania State University
    University Park, PA  United States  16802
  • Project Managers:

    Donnell, Eric

  • Performing Organizations:

    Virginia Tech Transportation Institute

    3500 Transportation Research Plaza
    Blacksburg, Virginia  United States  24061

    George Mason University

    School of Engineering
    CEIE Dept., MSN-6C1
    Faifax, VA  United States  22030
  • Principal Investigators:

    Abbas, Montasir

    Miller-Hooks, Elise

  • Start Date: 20220104
  • Expected Completion Date: 20230704
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01835226
  • Record Type: Research project
  • Source Agency: Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS)
  • Contract Numbers: 69A3551847103
  • Files: UTC, RIP
  • Created Date: Feb 2 2022 1:58PM