The article is devoted to the collection and processing of data for training a predicting model of road accidents involving pedestrians.To identify the factors affecting the accidents was analysed of statistical information taken from the "Open Data Portal of the Moscow Government" and the portal "Safe Roads.RF", as well as from the accident cards on traffic police website.

Keywords: traffic accident, data analysis, pedestrian safety, machine learning, gradient boosted decision trees