Employing neural networks to predict the number of incidents on specific types of Polish roads
Employing neural networks to predict the number of incidents on specific types of Polish roads

Summary/Abstract: The article’s goal is to predict how many accidents will occur on different types of roadsin Poland. This was accomplished by the analysis of annual data on the number of trafficaccidents in Poland by type of road. A prediction for the years 2022–2040 was developedusing police statistics. The frequency of accidents in Poland was anticipated using a fewneural network models. The findings indicate that we can still expect a stabilization ofthe number of road accidents. This is impacted by the rise in traffic on Polish roads andthe construction of new highways. The number of learning, test, and validation sampleschosen at random has an impact on the outcomes.

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