CAV Systems Incorporating Air Pollution Information from Traffic Congestion
| 项目名称： | CAV Systems Incorporating Air Pollution Information from Traffic Congestion |
| 摘要： | 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. |
| 状态： | Active |
| 资金： | $49,938 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Center for Connected and Automated Transportation |
| 项目负责人： | Bezzina, Debra |
| 执行机构： | Central State University |
| 主要研究人员： | Kandiah, Ramanitharan |
| 开始时间： | 20180611 |
| 预计完成日期： | 20191231 |
| 实际结束时间： | 0 |
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