Improved Vehicle Emissions and Near-Road Dispersion Modeling Tool for Project Evaluation: Integrating MOVES-Matrix, the FEC, and AERMOD

The research team will develop a Python-based and SQL-based modeling tool that links the two emissions models developed by Georgia Tech team (MOVES-Matrix and the FEC) with the USEPA’s preferred dispersion model (AERMOD). The inclusion of MOVES-Matrix and the FEC enables the tool to estimate emissions for both conventional vehicles (using MOVES-Matrix) and alternative fueled vehicles (using the FEC). The integration of emissions models and AERMOD model in the tool automated the data flow from traffic data (i.e., traffic volume, on road operating conditions, and fleet composition) to emission rates, and then to near-road concentration predictions. In contrast to the direct use of AERMOD, which requires users to manually convert the unit of emission rates to the per unit area emission strength required by AERMOD, to identify the coordinates of polygon nodes that approximate the road geometric design, and to compile all those input data into the cumbersome AERMOD format, the tool will automate all these process. For example, the tool will automatically convert the emissions rates from MOVES-Matrix and FEC and feed into AERMOD. The tool will also enable the users to either draw the road horizontal alignment on the interactive graph panel or uploading road nodes from a structured input table. The tool is also designed to enable the automatic (and smart) distribution of near-road receptors based on the road geometric characteristics, as recommended by the US EPA’s transportation conformity guidance (US EPA, 2015b). Such automated linkage will enhance the connectivity between emission rate models and dispersion models, and thus minimize data processing errors due to the complex procedures. Sensitivity analyses using this tool should also help to identify modeling uncertainties that may arise from the dynamic nature of traffic and the near-roadway atmospheric environment.


  • English


  • Status: Active
  • Funding: $37463
  • Contract Numbers:


    Project GT-03-30

  • 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:

    Georgia Institute of Technology

    Department of Civil and Environmental Engineering
    790 Atlantic Drive
    Atlanta, GA  United States  30322
  • Principal Investigators:

    Liu, Haobing

    Guensler, Randall

  • Start Date: 20200415
  • Expected Completion Date: 20210331
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program
  • Source Data: 03-30-GT

Subject/Index Terms

Filing Info

  • Accession Number: 01745563
  • Record Type: Research project
  • Source Agency: Center for Advancing Research in Transportation Emissions, Energy, and Health
  • Contract Numbers: 69A3551747128, Project GT-03-30
  • Files: UTC, RIP
  • Created Date: Jul 20 2020 3:28PM