Abstract
Modeling vehicular pollution in urban areas is essential in decision-making for urban planning and sustainable transport policies. Indeed, guaranteeing a breathable air quality in the acceptable levels specified by the World Health Organization (WHO) reinforces the road towards a sustainable urban development.In this work, we present the methodology and the different steps for the implementation of a sustainable transport decision tool permitting to perform a macroscopic simulation of road traffic using a first-order approach using the Cell Transmission Model (CTM) approach and a Dynamic Node Transmission Model (DNTM) approach for intersections; an estimation of the linear emission rates of the roads based on fleet statistics and the implementation of the simplified COPERT4 method; and finally the estimation of the near-instantaneous concentration of pollutants in urban areas. This tool is used to estimate the map of CO and NOx pollutants in the vicinity of a roundabout in the city of Sousse-Tunisia for the reference year 2015.
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