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• W2802925346 abstract "In the Philippine transport, the public utility vehicles (PUVs) are one of the top emitters of CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> emissions (CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> e). Moreover, the need of quantifying the CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> e of PUV is important in reducing the emission. Hence, this paper focuses on the statistical evaluation of CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> e of PUV based on the parameters affecting it - road grade, acceleration, and vehicle specific power (VSP). An Internet of Things (IoT) system with onboard CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> sensors, GPS receivers, wireless communication nodes and a base station, online elevation query, cloud server, and an online IoT monitoring dashboard were used to remotely gather, store and visualize the needed measurements. The correlations of CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> e according to these parameters were analyzed using statistical tools - histograms, box plots, and scatter plots. Results have shown that the correlation of PUV CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> e with respect to downhill roads, uphill roads, and acceleration follows a U-shaped curves with the trough from the ranges of -19% to -3% at -16%, 3% to 22% at around 13% to 16%, and from -4m/s2 to 3m/s2 at -2m/s2, respectively. Likewise, significant changes of CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> e were observed at different levels of VSP. Evidently, the mentioned factors have significantly affected the CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> e of the PUVs." @default.
• W2802925346 created "2018-05-17" @default.
• W2802925346 creator A5005989446 @default.
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• W2802925346 date "2018-02-01" @default.
• W2802925346 modified "2023-10-02" @default.
• W2802925346 title "Statistical analysis of CO<inf>2</inf> emission based on road grade, acceleration and vehicle specific power for public utility vehicles: An IoT application" @default.
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• W2802925346 doi "https://doi.org/10.1109/wf-iot.2018.8355235" @default.
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