Emissions derived from the use of internal combustion engines for transportation, are being the subject of many efforts to minimize them. In this respect, despite its potential importance in reducing fuel consumption and emissions, driving style still has not been priced. In this paper, a hybrid GPS data – simulation methodology is used to identify the travel kinematic characteristic that most strongly influence fuel consumption and corresponding pollutants emissions. Existing formulations are used to estimate the fuel consumed during five trips along a highway, performed by different drivers and monitored through a GPS device. The methodology represents a model to be used for road tankers, which involve special driving restrictions and sloshing effects. Results indicate that the longitudinal acceleration´s standard deviation keeps an almost linear relationship with the fuel consumed, so that such kinematics can provide an objective metric to assess eco-driving. It is suggested to include non-exhaust pollutants into the analysis, which have been reported as having dangerous effects on humans.
Driving style, fuel consumption, stored energy, GPS data, simulation, particle emissions
Cite this paper
Jose A. Romero Navarrete, Frank Otremba, Alejandro A. Lozano Guzman. (2020) Estimation of the Effect of the Driving Style on Pollutants Emission by Heavy Trucks. International Journal of Environmental Science, 5, 220-226
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