A NTUA Diploma Thesis titled “Driving Behavior Analysis Using Connected Vehicle Data” was recently presented by Andreas Englezos. For the purposes of this research, variables related to speed, engine temperature, the anti-lock braking system (ABS), and other driving characteristics were examined. The data were collected over a three-month period to identify different route profiles in terms of driver behavior. From the application of the algorithm, it was found that the variable with the highest importance value was the engine oil temperature. Finally, a Binary Logistic Regression was performed to examine the extent to which the independent variables influence the probability of ABS activation, which showed that the variable with the greatest influence was engine activation.