The scope of this diploma thesis is to investigate the impact of weather conditions and time pressure on road safety on urban roads. For this purpose, an experiment was conducted on a driving simulator through which the driving data of 42 young people were collected, while a survey conducted through a questionnaire identified the characteristics of the participants. The driving experiment took place with and without any time pressure in good weather conditions, in fog, rain, and snow. Linear and binomial logistic regression accounting models were developed for the mean driving speed, the mean distance from the right side of the road, the variation of the mean steering angle, the mean reaction time to an unexpected event, the mean headway distance. Τhe accident probability due to a dangerous event or other factors. The application of mathematical models showed that snow and rain lead to a significant increase in the probability of an accident. Fog increases the accident probability only in the event of a dangerous event. Also, time pressure seems to have the same effects as snow, a fact that should concern drivers.