Prediction of pollutant emission using partial least squares method

Author

Ragione, L. Della ; Meccariello, G.

Author_Institution

Ist. Motori CNR, Naples, Italy

fYear

2010

fDate

21-24 June 2010

Firstpage

521

Lastpage

526

Abstract

In the general context of a Decision support system (DSS), we applied partial least squares (PLS) as multivariate statistical technique for modeling and evaluation of automotive pollutant emissions. During the development of this activity different problems such as the integration of the micro simulated approach of driving cycles in the structure of the DSS have been addressed. This paper presents some results of PLS, related to a case study of emissive data coming from a data set of EURO 4 cars. Also the emission model predicted values on driving cycles, generated by car-following micro simulating models, are evaluated and compared with COPERT IV curves.

Keywords

air pollution; decision support systems; environmental science computing; least squares approximations; pollution control; statistical analysis; COPERT IV curves; EURO 4 cars; automotive pollutant emissions; decision support system; driving cycles; micro simulated approach; micro simulating model; multivariate statistical technique; partial least squares; partial least squares method; pollutant emission prediction; Atmospheric modeling; Context modeling; Data models; Kinematics; Mathematical model; Predictive models; Vehicles; Decision Support System (DSS); Driving Cycle (DC); Emission Factors; Partial Least Squares (PLS);

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology Interfaces (ITI), 2010 32nd International Conference on

Conference_Location

Cavtat/Dubrovnik

ISSN

1330-1012

Print_ISBN

978-1-4244-5732-8

Type

conf

Filename

5546494