The use of neural networks to forecast the number of road accidents in Poland

• Autorzy: Gorzelańczyk Piotr

Identyfikatory

DOI

10.20858/sjsutst.2023.118.4

• Języki publikacji: EN

Abstrakty

EN

Every year, a large number of traffic accidents occur on Polish roads. However, the pandemic of recent years has reduced the number of these accidents, although the number is still very high. For this reason, all measures should be taken to reduce this number. This article aims to forecast the number of road accidents in Poland. Thus, using Statistica software, the annual data on the number of road accidents in Poland were analyzed. Based on actual past data, a forecast was made for the future, for the period 2022-2040. Forecasting the number of accidents in Poland was conducted using selected neural network models. The results show that a reduction in the number of traffic accidents is likely. The choice of the number of random samples (learning, testing and validation) affects the results obtained.

Słowa kluczowe

EN

road accident; pandemic; forecasting; neural networks

PL

wypadek drogowy; pandemia; prognozowanie; sieci neuronowe

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Transport / Politechnika Śląska
• Rocznik: 2023
• Tom: z. 118
• Strony: 45--54
• Opis fizyczny: Bibliogr. 23 poz.

Twórcy

autor

Gorzelańczyk Piotr

• Stanislaw Staszic University of Applied Sciences in Pila, Podchorazych 10 Street, 64-920 Pila, Poland

• https://orcid.org/0000-0001-9662-400X

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