Forecasting the number of road accidents in Poland and Bosnia and Herzegovina using neural networks
Author(s):
Keywords:
Piotr Gorzelańczyk (PL), Emir Đulić (B&H)
traffic accident, pandemic, forecasting, neural networks, Poland, Bosnia and Herzegovina
Abstract:
This study aims to forecast the number of traffic accidents in Bosnia and Herzegovina and Poland from 2024 to 2030. To achieve this, annual statistics on traffic accidents in both countries were analyzed, utilizing data from the Polish Police and the UNECE Statistics of Road Traffic Accidents. Several neural network models were employed to predict the number of accidents. The results suggest a potential stabilization in the number of traffic accidents, though this trend may be influenced by factors such as the construction of new motorways and highways, and the increasing number of vehicles on the road. It is important to note that the accuracy of these predictions can be influenced by the size and randomness of the data samples used for training, testing, and validation.
Cite as:
Piotr Gorzelańczyk, Emir Đulić (2025) Forecasting the number of road accidents in Poland and Bosnia and Herzegovina using neural networks. Quality 2025 (S. Jašarević, editor), ISSN 1512-9268, Neum, B&H, 3-5 June 2025., pp. 229-240
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