CO<inf>2</inf> vehicular emission statistical analysis with instantaneous speed and acceleration as predictor variables

Oduro, SD; Metia, S; Duc, H; Ha, QP

CO<inf>2</inf> vehicular emission statistical analysis with instantaneous speed and acceleration as predictor variables

Oduro, SD Metia, S

Duc, H Ha, QP

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Publication Type:: Conference Proceeding
Citation:: 2013 International Conference on Control, Automation and Information Sciences, ICCAIS 2013, 2013, pp. 158 - 163
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Oduro, SD	en_US
dc.contributor.author	Metia, S https://orcid.org/0000-0002-5676-1146	en_US
dc.contributor.author	Duc, H	en_US
dc.contributor.author	Ha, QP https://orcid.org/0000-0003-0978-1758	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	2013 International Conference on Control, Automation and Information Sciences, ICCAIS 2013, 2013, pp. 158 - 163	en_US
dc.identifier.isbn	9781479905720	en_US
dc.identifier.uri	http://hdl.handle.net/10453/26730
dc.description.abstract	Models for predicting vehicular emissions of carbon dioxide (CO 2) are usually insensitive to vehicle modes of operation (such as cruise, acceleration, deceleration, and idling) as they are based on the average speed of motor vehicles. In the present study, real world on-road second-by-second data are used to improve the accuracy of air quality models by considering modal emissions of CO2 in terms of vehicles' instantaneous speed and acceleration. A regression analysis approach is used with speed and acceleration as the predictor variables while CO2 emission factor as the outcome variable for vehicles manufactured in 2002 and 2008. The results show that there is significantly a linear relationship between CO2, speed and acceleration/deceleration in which speed, as compared to acceleration, has a stronger correlation with respect to the CO2 emission factor. Also, for 2002 and 2008 vehicles, every 1m/s increase in speed will emit respectively 0.041g/s and 0.034g/s CO2, whereas an increase in acceleration by 1m/s2 will produce 0.025g/s and 0.008g/s of CO2 emission in the case of constant predictors. While speed and acceleration are all significant predictors of CO2 emission, it is concluded from the magnitude of the t-statistics that speed has a greater impact than acceleration in predicting CO2 emission. © 2013 IEEE.	en_US
dc.relation.ispartof	2013 International Conference on Control, Automation and Information Sciences, ICCAIS 2013	en_US
dc.relation.isbasedon	10.1109/ICCAIS.2013.6720547	en_US
dc.title	CO<inf>2</inf> vehicular emission statistical analysis with instantaneous speed and acceleration as predictor variables	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Nha Trang, Vietnam	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Models for predicting vehicular emissions of carbon dioxide (CO 2) are usually insensitive to vehicle modes of operation (such as cruise, acceleration, deceleration, and idling) as they are based on the average speed of motor vehicles. In the present study, real world on-road second-by-second data are used to improve the accuracy of air quality models by considering modal emissions of CO2 in terms of vehicles' instantaneous speed and acceleration. A regression analysis approach is used with speed and acceleration as the predictor variables while CO2 emission factor as the outcome variable for vehicles manufactured in 2002 and 2008. The results show that there is significantly a linear relationship between CO2, speed and acceleration/deceleration in which speed, as compared to acceleration, has a stronger correlation with respect to the CO2 emission factor. Also, for 2002 and 2008 vehicles, every 1m/s increase in speed will emit respectively 0.041g/s and 0.034g/s CO2, whereas an increase in acceleration by 1m/s2 will produce 0.025g/s and 0.008g/s of CO2 emission in the case of constant predictors. While speed and acceleration are all significant predictors of CO2 emission, it is concluded from the magnitude of the t-statistics that speed has a greater impact than acceleration in predicting CO2 emission. © 2013 IEEE.

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http://hdl.handle.net/10453/26730