Statistical Analysis Of Co2 Emission Based On Road Grade, Acceleration And Vehicle Specific Power For Public Utility Vehicles: An Iot Application

In our transport system , the public utility vehicles (PUVs) are one of the top emitters of CO2 emissions (CO2e). Moreover, the need of quantifying the CO2e of PUV is important in reducing the emission. Hence, this paper focuses on the statistical evaluation of CO2e of PUV based on the parameters affecting it —road grade, acceleration, and vehicle specific power (VSP). An Internet of Things (IoT) system with onboard CO2 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 CO2e according to these parameters were analyzed using statistical tools—histograms, box plots, and scatter plots. Results have shown that the correlation of PUV CO2e 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 CO2e were observed at different levels of VSP. Evidently, the mentioned factors have significantly affected the CO2e of the PUVs.