A NTUA Diploma Thesis titled “Factors Influencing Speed Limit Violations on Athens Road Network” was recently presented by Daphne Kyprouli. For this reason data collected by OSeven Telematics and OpenStreetMaps, which includes information such as road geometry indicators, safety measurements and driving behavior metrics were utilized. The analysis consisted statistical models and machine learning algorithms aiming to predict speeding violations and understand the factors influencing them, with overall ten models created. The results demonstrated that speeding has a statistically significant correlation with various variables and improving driving behavior will consequently lead to a reduction of road crashes. The main factors affecting the likelihood of speeding in the examined road sections are the number of trips, the road section length and the percentage of mobile phone use, while slopes presented the least impact.
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