Optimal feedback controllers are generally offline schemes where full knowledge of the system dynamics is required. The purpose of this report is to get familiar with reinforcement learning techniques in the context of optimal control problems. The result indicates a significant impact of wind speed and direction on the dispersion of pollutants in the exhaust plume. The instantaneous exposure at a given period at an average breathing height as well as the high concentration zones was identified. The concentration of CO and NO 2 in the computational domain was computed at different locations and heights to study the characteristics of the dispersion process under different conditions and validate the result with available literature in this field. Pedestrian exposure to carbon monoxide (CO), oxides of nitrogen (NO x) from the idling vehicle was evaluated. CFD analysis based on the Ansys CFX platform was carried out to simulate the dispersion of gaseous pollutants from a typical light-duty passenger vehicle idling on the street given the estimated emission rates, crosswind and weather conditions during summer and winter seasons. Emission of an idling vehicle is considered more harmful than a moving vehicle as the wake created by a moving vehicle contributes to the. The dispersion process of air pollutants from vehicular exhaust plume has a direct impact on human health, especially on pedestrians, bicyclists, motorcyclists, and people working nearby parking locations, traffic cross-sections, and roadway micro-environments.
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