Development of an Emission-based Selection Algorithm to Optimize Variable Message Signs Location

Variable message sign (VMS) is a key component of intelligent transportation system (ITS) technologies, and more specifically, a real-time traveler information tool. Estimated travel time on freeways, corridor congestions, construction and maintenance schedules, special events instructions, and incident notifications can be conveyed through VMS. Previously, it was indicated that the highest performance gain and emission saving occur when the VMS locations are wisely selected. Therefore, this project will introduce and develop a transferable bi-level emission-based algorithm to select the optimal VMS locations within a network, which assures the environmental benefits in large-scale as well as saving money and time on finding the optimal locations. The integration of non-recurring congestion data into a simulation-based emission optimization algorithm and life-cycle cost analysis for the selection of optimal VMS locations are the unique features of this platform. The developed platform will finally be applied and tested in El Paso, Texas, and can benefit transportation agencies by facilitating the selection of optimal VMS locations, improving regional air quality, and reducing operational costs.

Language

  • English

Project

  • Status: Active
  • Funding: $56000
  • Contract Numbers:

    69A3551747128

  • 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:

    Texas A&M Transportation Institute, College Station

    Texas A&M University System
    3135 TAMU
    College Station, TX  United States  77843-3135
  • Performing Organizations:

    Texas A&M Transportation Institute, College Station

    Texas A&M University System
    3135 TAMU
    College Station, TX  United States  77843-3135
  • Principal Investigators:

    Sharifi, Farinoush

  • Start Date: 20190901
  • Expected Completion Date: 20200831
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program
  • Source Data: 03-23-TTI

Subject/Index Terms

Filing Info

  • Accession Number: 01745564
  • Record Type: Research project
  • Source Agency: Center for Advancing Research in Transportation Emissions, Energy, and Health
  • Contract Numbers: 69A3551747128
  • Files: UTC, RIP
  • Created Date: Jul 15 2020 12:49PM