Abstract
Air quality has been become a major public health issue and the road traffic emissions is one of the most important sources. The WHO (2013) classified the air pollution as carcinogenic and even if there is an improvement over time, according to The EEA (2015), the air pollution in Europe constitutes the first risk on the environmental health, and they emphasized that air quality monitoring is not enough to estimate the contribution of real-driving emissions with confidence.In this context, the proposed approach aims to monitor and understand the contributions of real-driving emissions by coupling mobile crowdsensing, on-road measurements and a microscopic vehicle model. This approach quantifies the variability of real-driving emissions related to the fleet and the driving behavior considering the real conditions on the analyzed geographic area.
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