A research project on the measurement of emission factors in critical driving conditions arising from a cooperation among University of Sannio, Istituto Motori of CNR, and some companies of Italian Regione Campania is started. In particular, in this paper, a procedure of automatic feature extraction and data classification of vehicle driving sequences by means of Wavelet analysis and Cultural Algorithms is proposed. The procedure improves the lack of sensitivity of the state-of-the-art statistical methods to variations of vehicles instantaneous kinematic parameters (e.g. speed, acceleration) through a simple heuristic link between vehicle speed and road traffic data. Copyright© (2006) by the International Measurement Federation (IMEKO).
Evolutionary pattern recognition for measurement of vehicle emission factors in critical driving conditions
Clemente Fabrizio;Rapone Mario;
2006
Abstract
A research project on the measurement of emission factors in critical driving conditions arising from a cooperation among University of Sannio, Istituto Motori of CNR, and some companies of Italian Regione Campania is started. In particular, in this paper, a procedure of automatic feature extraction and data classification of vehicle driving sequences by means of Wavelet analysis and Cultural Algorithms is proposed. The procedure improves the lack of sensitivity of the state-of-the-art statistical methods to variations of vehicles instantaneous kinematic parameters (e.g. speed, acceleration) through a simple heuristic link between vehicle speed and road traffic data. Copyright© (2006) by the International Measurement Federation (IMEKO).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
