A Diploma Thesis titled “Identification of critical driving parameters affecting speeding using data from smartphones” was recently presented by Aris Kokkinakis. The aim of this Diploma Thesis is to identify the critical driving parameters that affect speeding using data from smartphones. To achieve this objective, data collected from sixty- eight drivers who participated at a naturalistic driving experiment for fifteen months are analyzed. The analysis was carried out with the use of statistical method of linear regression. The results revealed that all six parameters, distance, high intensity harsh accelerations and brakings, harsh cornerings, average deceleration and mobile usage, were statistically significant in the regression models. For the general model, the number of high intensity harsh brakings had the most significant impact, whereas for each type of road separately, distance was the most significant parameter.
Identification of critical driving parameters affecting speeding using data from smartphones, 2019
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