The subject of this Diploma Thesis was the analysis of speeding characteristics in Greece using data from field measurements. The data used for the statistical analysis were collected in the period of November-December of 2021 in Greece, and were related to vehicle speed measurements, but also to the simultaneous recording of the type of vehicle, the type of road, the weather conditions and the time period. For this purpose, three Binary Logistic Regression models were developed. The first model takes into account the actual conditions, regarding the actual speed limits at each measurement location. In the next two models, exceeding the speed limits by 10km/h or more and by 20Km/h or more respectively is taken into account. Exceeding the speed limit was the dependent variable for all three models developed. The results show that motorcycle drivers are more likely to exceed the speed limit than passenger car drivers, while it was estimated that the opposite is true for the other types of vehicles. It was also found that drivers on urban roads are more likely to exceed speed limits than drivers on motorways. It was further estimated that drivers are less likely to exceed speed limits in adverse weather conditions compared to good weather conditions. Regarding weekends, drivers are less likely to exceed the speed limit than on weekdays. Finally, it was estimated that in Larissa and Thessaloniki, drivers are more likely to exceed the speed limit than in Athens.