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

The number of road accidents in the world is decreasing year by year. This number has been affected by the pandemic in recent years but is still very high. Therefore, it is necessary to take all possible measures and steps to reduce this number. The objective of the article is to forecast the number...

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Main Authors: Gorzelanczyk Piotr, Tylicki Henryk
Format: Article
Language:English
Published: Sciendo 2023-01-01
Series:Logi
Subjects:
Online Access:https://doi.org/10.2478/logi-2023-0004
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author Gorzelanczyk Piotr
Tylicki Henryk
author_facet Gorzelanczyk Piotr
Tylicki Henryk
author_sort Gorzelanczyk Piotr
collection DOAJ
description The number of road accidents in the world is decreasing year by year. This number has been affected by the pandemic in recent years but is still very high. Therefore, it is necessary to take all possible measures and steps to reduce this number. The objective of the article is to forecast the number of road accidents in Poland depending on the day of the week. For this purpose, the annual data on the number of road accidents in Poland broken down by days of the week were analyzed, and a forecast for the years 2022-2040 was prepared on the basis of the police statistics. The forecast was made using selected models of neural networks. The research results show that a decrease in in the number of road accidents can be expected. However, the obtained results could be affected by the selected number of random samples (training, testing and validation).
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spelling doaj.art-0f28c8c15bc84a168d487f6e3e7c0bfb2024-04-15T07:43:27ZengSciendoLogi2336-30372023-01-01141354210.2478/logi-2023-0004Forecasting the Number of Road Accidents in Poland Depending on the Day of the Week using Neural NetworksGorzelanczyk Piotr0Tylicki Henryk1Stanislaw Staszic University of Applied Sciences in Pila, Podchorazych 10 Street, 64-920Pila, Poland.Stanislaw Staszic University of Applied Sciences in Pila, Podchorazych 10 Street, 64-920Pila, Poland.The number of road accidents in the world is decreasing year by year. This number has been affected by the pandemic in recent years but is still very high. Therefore, it is necessary to take all possible measures and steps to reduce this number. The objective of the article is to forecast the number of road accidents in Poland depending on the day of the week. For this purpose, the annual data on the number of road accidents in Poland broken down by days of the week were analyzed, and a forecast for the years 2022-2040 was prepared on the basis of the police statistics. The forecast was made using selected models of neural networks. The research results show that a decrease in in the number of road accidents can be expected. However, the obtained results could be affected by the selected number of random samples (training, testing and validation).https://doi.org/10.2478/logi-2023-0004road accidentpandemicforecastingneural networks
spellingShingle Gorzelanczyk Piotr
Tylicki Henryk
Forecasting the Number of Road Accidents in Poland Depending on the Day of the Week using Neural Networks
Logi
road accident
pandemic
forecasting
neural networks
title Forecasting the Number of Road Accidents in Poland Depending on the Day of the Week using Neural Networks
title_full Forecasting the Number of Road Accidents in Poland Depending on the Day of the Week using Neural Networks
title_fullStr Forecasting the Number of Road Accidents in Poland Depending on the Day of the Week using Neural Networks
title_full_unstemmed Forecasting the Number of Road Accidents in Poland Depending on the Day of the Week using Neural Networks
title_short Forecasting the Number of Road Accidents in Poland Depending on the Day of the Week using Neural Networks
title_sort forecasting the number of road accidents in poland depending on the day of the week using neural networks
topic road accident
pandemic
forecasting
neural networks
url https://doi.org/10.2478/logi-2023-0004
work_keys_str_mv AT gorzelanczykpiotr forecastingthenumberofroadaccidentsinpolanddependingonthedayoftheweekusingneuralnetworks
AT tylickihenryk forecastingthenumberofroadaccidentsinpolanddependingonthedayoftheweekusingneuralnetworks