Development of an Emission-Based Selection Algorithm to Optimize Variable Message Sign Locations

This project devised an optimization method to site variable message signs (VMSs) for traffic incident management. The optimization objective is to maximize the economic utility of each VMS, considering both the monetary value of time and value of emissions. The method includes an integrated traffic and emissions simulation module and an optimization module that stochastically sample from real-world incident data. The method was applied to El Paso, Texas, as a case study. The case study demonstrated convergence of the optimization process, arriving at a stable set of optimal sites given various input assumptions. The optimally sited VMSs showed favorable societal return on investment in congestion relief and emissions reduction.

• Record URL:
  http://www.carteeh.org/wp-content/uploads/2021/06/03-23-TTI-Development-of-an-Emission-Based-Selection-Algorithm-to-Optimize-Variable-Message-Sign-Locations-Sharifi.pdf
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/68366
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Center for Advancing Research in Transportation Emissions, Energy, and Health

  Texas A&M Transportation Institute
  College Station, TX  United States  77843

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Sharifi, Farinoush
  • Xu, Yanzhi (Ann)
• Publication Date: 2020-11

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; Maps; References; Tables;
• Pagination: 31p

Subject/Index Terms

• TRT Terms: Incident management; Location; Optimization; Pollutants; Return on investment; Variable message signs
• Geographic Terms: El Paso (Texas)
• Subject Areas: Environment; Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01889742
• Record Type: Publication
• Report/Paper Numbers: 165820-00005
• Contract Numbers: 69A3551747128
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Aug 7 2023 5:28PM