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
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Contract Numbers:
69A3552348335
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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
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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
- TRT Terms: Environmental impacts; Forecasting; Particulates; Pollutants
- Subject Areas: Environment; Planning and Forecasting; Transportation (General);
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