The aim of the current research is to investigate the impact of weather conditions and time pressure on road safety on urban roads. To achieve this objective, a simulator experiment was conducted and a questionnaire was filled in a sample of 42 young drivers. The driving experiment took place with and without any time pressure in good weather conditions, rain, fog 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 and the accident probability due to a dangerous event or other factors. The results demonstrated that snow and rain led to a significant increase in the probability of an accident, while fog increased the accident probability only in case of a dangerous event.
| ID | pc425 |
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| Tags | καιρικές συνθήκες, προσομοιωτής οδήγησης, στατιστικά μοντέλα |
