Better understanding of commercial vehicle energy consumption


Empirically predict the energy consumption of vehicles based on environmental conditions and driving characteristics such as slope, speed and acceleration, in order to better control the consumption.


Application of advanced oversampling techniques to overcome the problem of imbalance in different kinds of available data. Application of various classification, regression and clustering algorithms on the oversampled data in order to precisely determine driving behaviors influencing the average consumption per kilometer.



After this project, I adapted my proper driving techniques based upon results we discovered, and I got to significantly lower my fuel consumption!