A computational modular approach to evaluate $ {\mathrm{NO_{x}}} $ emissions and ozone production due to vehicular traffic

<p style='text-indent:20px;'>The societal impact of traffic is a long-standing and complex problem. We focus on the estimation ground-level ozone production due to vehicular traffic. propose comprehensive computational approach combining four consecutive modules: simulation module, an emission module for main chemical reactions leading production, diffusion gases in atmosphere. The based second-order flow model, obtained by choosing special velocity function Collapsed Generalized Aw-Rascle-Zhang model. A general taken from literature, tuned NGSIM data together with module. Last two modules are reaction-diffusion partial differential equations. system equations describing nitrogen oxides presents source term given applied output use proposed analyze various scenarios describe effect light timing. numerical tests show negative vehicles restarts emissions, consequent increase pollutants air, suggesting length green phase lights.</p>