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Authors: Andò, B.* 
Baglio, S.* 
Graziani, S.* 
Pecora, E.* 
Pitrone, N.* 
Title: A predictive Model for urban Air Pollution Evaluation
Issue Date: 19-May-1997
DOI: 10.1109/IMTC.1997.612362
Keywords: Model, Pollution, Neural Model
Subject Classification01. Atmosphere::01.01. Atmosphere::01.01.03. Pollution 
Abstract: Several models which could be useful to estimate pollutant concentrations as a function of the emission distribution and the attendant meteorological conditions, have been investigated. Up to now a lot of them have been based upon physical principles. In this work an alternative block box approach, in air pollution modelling have been proposed. The main target of this approach is the prediction, on the basis of meteorological prevision, the air pollution concentration as a function of the expected number of vehicles. The integration of this model in an emission control scheme, for the control of the motor vehicle flux, may represent a very useful approach to the urban air quality problem.
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