Optimized Development of Urban Transportation Networks
This project seeks to develop general-purpose methods for optimizing the selection, sequencing, and scheduling of interrelated improvement projects in transportation networks, with special emphasis on relatively dense urban networks. Such urban networks typically experience considerable congestion, have closely spaced intersections and can serve multiple modes having synergistic as well as competitive relations. The methodologies proposed in this work should also be applicable to other prioritization problems with interrelated alternatives, which abound in transportation and other fields, such as industrial engineering, operations research, communications and finance.
Language
- English
Project
- Status: Active
- Funding: $72000
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Contract Numbers:
69A43551747123
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Sponsor Organizations:
U.S. Department of Transportation
1200 New Jersey Avenue, SE
Washington, DC United States 20590Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Urban Mobility & Equity Center
Morgan State University
Baltimore, MD United States 21251 -
Project Managers:
Tucker-Thomas, Dawn
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Performing Organizations:
University of Maryland, College Park
3112 Lee Building
College Park, MD United States 20742 -
Principal Investigators:
Schonfeld, Paul
- Start Date: 20170701
- Expected Completion Date: 20180630
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Highway operations; Industrial engineering; Optimization; Signalized intersections; Traffic congestion; Traffic density; Urban transit
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01637802
- Record Type: Research project
- Source Agency: Urban Mobility & Equity Center
- Contract Numbers: 69A43551747123
- Files: UTC, RiP
- Created Date: Jun 7 2017 2:12PM