Optimized Development of Multi-modal Trasportation Network

The proposed project will develop methods for optimizing the selection and scheduling of interrelated alternatives in multi-modal transportation networks, thus optimizing the evolution of those transportation systems through successive stages. The methods will extend previous ones developed at the University of Maryland and adapt them to the analysis of multi-modal transportation systems such as rail transit networks with feeder buses, connected urban street networks with bus lanes, and rural road networks partly usable by heavy trucks. These methods will enable their users to explore the effects on system development, performance, demand, costs and benefits of various objectives, policies, and constraints (e.g., on funding, other resources, equity, service quality, energy use, and environmental impacts).

    Language

    • English

    Project

    • Status: Active
    • Funding: $150000
    • Contract Numbers:

      CMMM-UMDPS-2023-C0005

    • 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:

      University of Maryland, College Park

      College Park, MD  United States  20742
    • Project Managers:

      Schonfeld, Paul

    • Performing Organizations:

      University of Maryland, College Park

      College Park, MD  United States  20742
    • Principal Investigators:

      Schonfeld, Paul

    • Start Date: 20230901
    • Expected Completion Date: 20240831
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers

    Subject/Index Terms

    Filing Info

    • Accession Number: 01909259
    • Record Type: Research project
    • Source Agency: Center for Multi-Modal Mobility in Urban, Rural, and Tribal Areas (CMMM)
    • Contract Numbers: CMMM-UMDPS-2023-C0005
    • Files: UTC, RIP
    • Created Date: Feb 22 2024 3:59PM