A paper titled “Investigating the Temporal Evolution of Driving Safety Efficiency Using Data Collected from Smartphone Sensors” authored by Dimitrios Tselentis, Eleni Vlahogianni and George Yannis, has been published in Accident Analysis and Prevention. Initial data analysis results to the most critical components of microscopic driving behaviour, which are used as inputs in the k-means algorithm to perform the clustering analysis. The main driving characteristics of each cluster are identified and lead to the conclusion that there are three main driving groups of the a) moderate drivers, b) unstable drivers and c) cautious drivers.