Title :
Fuzzy modeling of traffic noise annoyance
Author :
Verkeyn, A. ; Botteldooren, D. ; De Tre, Guy ; De Caluwe, R.
Author_Institution :
Dep of Inf. Technol., Ghent Univ., Belgium
Abstract :
This paper presents a fuzzy rule-based model for the prediction of traffic noise annoyance. Several inference schemes are compared for their performance in prediction capabilities as well as in speed. It is shown that the fastest implementation does an equally good job, after optimization of certainty degrees attached to the rules. For this optimization, a genetic algorithm is applied
Keywords :
forecasting theory; fuzzy logic; genetic algorithms; model-based reasoning; noise pollution; traffic; certainty degree optimization; fuzzy rule-based model; genetic algorithm; inference scheme performance; speed; traffic noise annoyance prediction; Acoustic noise; Noise level; Noise measurement; Predictive models; Psychoacoustic models; Psychology; Rail transportation; Roads; Traffic control; Working environment noise;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.944772
