Forecasting the Number of Road Accidents in Poland Depending on the Day of the Week Using Neural Networks

Authors

  • Piotr Gorzelanczyk
    Affiliation

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

https://doi.org/10.3311/PPtr.22203

Abstract

A very large number of people are killed on the roads. Although the value is decreasing from year to year and the pandemic has reduced the number of traffic accidents even further, the number is still very high. For this reason, it is necessary to find out on which days of the week the highest number of traffic accidents occur, and to know the accident forecast for the coming years, so that we can do everything possible to minimize the analyzed value.
The aim of the article is to develop a forecast of the number of road accidents in Poland depending on the days of the week. For this purpose, monthly data on the number of road accidents in Poland by days of the week were analyzed on the basis of Police data. Based on this data, a forecast of the number of road accidents for 2022-2024 was made in Statistica software. Selected neural network models were used to forecast the number of road accidents. The results show that we can still expect a reduction in the number of road accidents on Polish roads, but the prevailing pandemic disturbs the results obtained. The choice of the number of random samples (learning, testing and validation) affects the obtained results.

Keywords:

traffic accident, pandemic, forecasting, neural networks, day of the week

Published Online

2023-09-13

How to Cite

Gorzelanczyk, P. (2023) Forecasting the Number of Road Accidents in Poland Depending on the Day of the Week Using Neural Networks, Periodica Polytechnica Transportation Engineering, 51(4), pp. 431–435. https://doi.org/10.3311/PPtr.22203

Issue

Section

Articles