A neuro-fuzzy model of urban traffic
Luigi Fortuna, Luigi G. Occhipinti, C. Vinci, Maria Gabriella Xibilia · 2002
In this paper a Neuro-Fuzzy approach to obtain the relationships between the parameters involved in the characterization of noise pollution in urban traffic and the 'equivalent' number of vehicles has been developed. A Fuzzy Neural Network which implements a fuzzy reasoning with constant consequences has been chosen. Such a method allow one to overcome some difficulties which appear both in neural and fuzzy modelling and gives a satisfactory performances with a reasonable computational cost.