An NTUA Diploma Thesis titled “Correlation of crash risk with driver capacity in coping with driving tasks complexity using machine learning” was recently presented by Spyros Tsigkos. A large set of  driving data under real-life conditions in Great Britain was exploited and eight Structural Equation Models (SEM) were developed. It emerged that increasing the complexity of the trip increases the risk of a crash, while the deteriorated condition of the driver and the vehicle leads to increasing the crash risk. Male drivers have more high-severity abrupt incidents while driving compared to female drivers, which confirms the international literature.