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The level of air quality in urban centres is affected by emission of severalpollutants, mainly coming from the vehicles flowing in their road networks.This is a well known phenomenon that influences the quality of life of people.Despite the deep concern of researchers and technicians, we are far from atotal understanding of this phenomenon. On the contrary, the availability ofreliable forecasting models would constitute an important tool foradministrators in order of assessing suitable actions concerning thetransportation policies, public as well private. Referring to the situation ofthe running fleet and the measured pollutant concentrations concerning theItalian town of Palermo, a data-deduced traffic model is here derived, itstruthfulness being justified by a fuzzyfication of the phenomenon. A firstvalidation of the model is supplied by utilising the emissions characteristicsand the pollutant concentrations referring to a two years period of time. Thiswork could represent a first attempt in defining a new approach to the problemof the pollution of the urban contexts, in order of providing administratorswith a reliable and easier tool.

Obtaining Traffic Information by Urban Air Quality Inspection