CAV Developed Vehicles as Real-Time Sensors for Assessing Greenhouse Gases

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. MOVES will be used to generate several scenarios to determine emissions from vehicles in a simulated traffic congestion scenario. ODOT traffic data will be used in these scenarios. Resulting air pollution from emissions will be determined using a dispersion model and compared with GHG standards for emissions. 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
• Contract Numbers:

  69A3551747105

• 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

• 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; Emissions testing; Freeways; Traffic congestion
• Identifier Terms: Motor Vehicle Emission Simulator (MOVES)
• Subject Areas: Environment; Policy; Research; Safety and Human Factors;

Filing Info

• Accession Number: 01742581
• Record Type: Research project
• Source Agency: Center for Connected and Automated Transportation
• Contract Numbers: 69A3551747105
• Files: UTC, RIP
• Created Date: Jun 17 2020 4:49PM