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Optimisation of driving-parameters and emissions of a diesel-vehicle using principal component analysis (PCA)

Shahariar, G. M. Hasan, Bodisco, Timothy A., Chu Van, Thuy, Surawski, Nicholas, Sajjad, Mojibul, Suara, Kabir A., Ristovski, Zoran and Brown, Richard J. 2020, Optimisation of driving-parameters and emissions of a diesel-vehicle using principal component analysis (PCA), in AFMC2020 : Proceedings of the 22nd Australasian Fluid Mechanics Conference, University of Queensland, Brisbane, Qld., doi: 10.14264/eeccc3f.

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Title Optimisation of driving-parameters and emissions of a diesel-vehicle using principal component analysis (PCA)
Author(s) Shahariar, G. M. Hasan
Bodisco, Timothy A.ORCID iD for Bodisco, Timothy A. orcid.org/0000-0002-5163-4762
Chu Van, Thuy
Surawski, Nicholas
Sajjad, Mojibul
Suara, Kabir A.
Ristovski, Zoran
Brown, Richard J.
Conference name AFMC2020. Fluid Mechanics. Australasian Conference (22nd : 2020 : Brisbane, Queensland)
Conference location Brisbane, Queensland
Conference dates 07 - 10 Dec. 2020
Title of proceedings AFMC2020 : Proceedings of the 22nd Australasian Fluid Mechanics Conference
Editor(s) Chanson, Hubert
Brown, Richard
Publication date 2020
Total pages 4
Publisher University of Queensland
Place of publication Brisbane, Qld.
Keyword(s) real driving emissions (RDE)
portable emission measurement systems (PEMS)
air quality
principal component analysis (PCA)
Summary Light-duty diesel vehicles contribute significantly to urban air pollution. Laboratory-based standard driving test cycles do not take into account external driving factors, which greatly impact the vehicle emissions compared to the real-world driving emission (RDE) measurements. This results in higher emission levels obtained by RDE tests, compared to the standard approaches. In the current study, an RDE measurement campaign has been conducted in Brisbane city traffic using a portable emission measurement system (PEMS). Thirty drivers with a wide variety of driving experiences participated using a Hyundai iLoad van in a custom test route. RDEs and driving parameters were recorded during each trip. Principal component analysis (PCA) was applied to investigate the relationship between driving dynamics and vehicle emissions. Also, the impact of different trips, driving time, and driving experience on driving behaviour and emissions. Route familiarity, traffic density, and driving experience have a strong impact on driving behaviour and emissions. The driver's response to changing traffic, unknown routes, and vehicles significantly vary among different drivers which results in a high volume of transient events (frequent acceleration and deceleration). Transient events are very common in city driving which has a strong correlation to vehicle emissions.
ISBN 9781742723419
Language eng
DOI 10.14264/eeccc3f
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2020, The Authors
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30148808

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.