An initial step towards the development of predictive tools to reduce pollution from transportation

US DOT Priorities: This project aims at mitigating the particulate pollution from transportation systems towards Preserving the Environment and Climate and Sustainability. Outputs: Successful implementation of this project will create a base modelling framework (in-silico) tool that allows optimization of exhaust systems to reduce particulate pollution. Outcomes/Impacts: Availability of a reliable optimization tool allows for efficient design of various component of transportation systems where particle deposition may pose a serious challenge. Additionally, such tool are general and have the potential to be extended to study particle transport (pollution) beyond any specific device.

    Language

    • English

    Project

    • Status: Active
    • Funding: $154275
    • Contract Numbers:

      69A3552348335

    • 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 Missouri, Kansas City

      Department of Civil Engineering
      5100 Rockhill Road, Flarsheim Hall
      Kansas City, MO  United States  64110
    • Project Managers:

      Kline, Robin

    • Performing Organizations:

      University of Missouri, Kansas City

      Department of Civil Engineering
      5100 Rockhill Road, Flarsheim Hall
      Kansas City, MO  United States  64110
    • Principal Investigators:

      Mehdizadeh, Amir

    • Start Date: 20240601
    • Expected Completion Date: 20260531
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers

    Subject/Index Terms

    Filing Info

    • Accession Number: 01934276
    • Record Type: Research project
    • Source Agency: Environmentally Responsible Transportation Center for Communities of Concern
    • Contract Numbers: 69A3552348335
    • Files: UTC, RIP
    • Created Date: Oct 17 2024 11:05AM