CAV Systems Incorporating Air Pollution Information from Traffic Congestion
Through CCAT center, CSU proposes to study air pollutants under different traffic congestion scenarios along selected freeways in Ohio. The study captures pollution intensities in different seasons of the year representing different atmospheric stabilities and concentration of pollutants as a function of hold up times and traffic densities. Our prior work has determined typical hot spots in Ohio along freeways that are prone to high traffic densities and possible congestion. MOVES will be used to generate these scenarios to determine emissions from vehicles in a simulated traffic congestion scenario. ODOT traffic data will be used for these scenarios. Resulting air pollution from emissions will be determined using a dispersion model and compared with NAAQS. A model will be developed to assess severity of air pollution, which will be used to forecast air quality index for the congested areas on freeways. CAV technology will then be deployed to communicate the information to travelers on freeways on radio channels approaching congested areas.
Language
- English
Project
- Status: Active
- Funding: $149,814
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Contract Numbers:
69A3551747105
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Sponsor Organizations:
Department of Transportation
Intelligent Transportation Systems Joint Program Office
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Managing Organizations:
Center for Connected and Automated Transportation
University of Michigan, Ann Arbor
Ann Arbor, MI United States 48109 -
Project Managers:
Tucker-Thomas, Dawn
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Performing Organizations:
Central State University
111 C.J. McLin Center
1400 Brush Row Road
Wilberforce, OH United States 45384-1004 -
Principal Investigators:
Kandiah, Ramanitharan
- Start Date: 20180611
- Expected Completion Date: 20230331
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
- Subprogram: Research
Subject/Index Terms
- TRT Terms: Air pollution; Automated vehicle control; Autonomous vehicles; Connected vehicles; Emissions testing; Freeways; Pollutants; Traffic; Traffic congestion
- Subject Areas: Data and Information Technology; Operations and Traffic Management; Planning and Forecasting; Policy; Research; Safety and Human Factors;
Filing Info
- Accession Number: 01742580
- Record Type: Research project
- Source Agency: Center for Connected and Automated Transportation
- Contract Numbers: 69A3551747105
- Files: UTC, RIP
- Created Date: Jun 17 2020 4:48PM