Experimental evaluation of gear-shift and internal-combustion engine variables on fuel consumption, noise and pollutant emissions

Although variability of noise and pollutant emissions are usually associated with vehicular speed acceleration, driving style, mainly related to gear-shift internal engine variables such as revolutions per minute (RPM) or load (EL), can also play a key role. Moreover, the contribution each variable for fuel consumption, vary different vehicle-motorization types. However, effect on is not fully exploited in literature. Thus, this work aims assess impact gear selection, RPM, EL carbon dioxide (CO2), nitrogen oxides (NOx), terms sound power level (Lw) diesel passenger vehicle. This focused gear-based controlled on-road environment. Internal observable (fuel EL) kinematic (speed acceleration) were recorded second-by-second time basis using an On-Board Diagnostic System, data Sound Level Meter. Pollutant estimated Vehicle Specific Power (VSP) methodology 1Hz frequency. In study, Clustering Disjoint Principal Component Analysis applied find patterns hidden data. An Ordered Logit model predict based exploring kinetic variables, that influenced by driver’s developed. Preliminary results highlight potential developed show influence selection minimizing emissions. These findings establish foundation developing sustainability indicator only but relevant understand vehicle performance alleviate relative impacts style if integrated into control units.