EVOLUTIONARY PATTERN RECOGNITION FOR MEASUREMENT OF VEHICLE EMISSION FACTORS IN CRITICAL DRIVING CONDITIONS

Pasquale Arpaia, Fabrizio Clemente, Mario Rapone, Carmine Romanucci

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.

Keywords

cultural algorithm, feature extraction, vehicle emissions

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PWC-2006-TC4-064u.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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