THE USE OF NEURAL NETWORKS TO FORECAST THE NUMBER OF ROAD ACCIDENTS IN POLAND
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 numbe...
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| Format: | Article |
| Language: | English |
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Silesian University of Technology
2023-03-01
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| Series: | Scientific Journal of Silesian University of Technology. Series Transport |
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| Online Access: | https://sjsutst.polsl.pl/archives/2023/vol118/045_SJSUTST118_2023_Gorzelanczyk.pdf |
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| _version_ | 1841563023804727296 |
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| author | Piotr GORZELANCZYK |
| author_facet | Piotr GORZELANCZYK |
| author_sort | Piotr GORZELANCZYK |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c52b971a39354a35a0bf94b2e719d29d |
| institution | Kabale University |
| issn | 0209-3324 2450-1549 |
| language | English |
| publishDate | 2023-03-01 |
| publisher | Silesian University of Technology |
| record_format | Article |
| series | Scientific Journal of Silesian University of Technology. Series Transport |
| spelling | doaj-art-c52b971a39354a35a0bf94b2e719d29d2025-01-03T00:33:53ZengSilesian University of TechnologyScientific Journal of Silesian University of Technology. Series Transport0209-33242450-15492023-03-01118455410.20858/sjsutst.2023.118.4THE USE OF NEURAL NETWORKS TO FORECAST THE NUMBER OF ROAD ACCIDENTS IN POLANDPiotr GORZELANCZYKEvery 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.https://sjsutst.polsl.pl/archives/2023/vol118/045_SJSUTST118_2023_Gorzelanczyk.pdfroad accidentpandemicforecastingneural networks |
| spellingShingle | Piotr GORZELANCZYK THE USE OF NEURAL NETWORKS TO FORECAST THE NUMBER OF ROAD ACCIDENTS IN POLAND Scientific Journal of Silesian University of Technology. Series Transport road accident pandemic forecasting neural networks |
| title | THE USE OF NEURAL NETWORKS TO FORECAST THE NUMBER OF ROAD ACCIDENTS IN POLAND |
| title_full | THE USE OF NEURAL NETWORKS TO FORECAST THE NUMBER OF ROAD ACCIDENTS IN POLAND |
| title_fullStr | THE USE OF NEURAL NETWORKS TO FORECAST THE NUMBER OF ROAD ACCIDENTS IN POLAND |
| title_full_unstemmed | THE USE OF NEURAL NETWORKS TO FORECAST THE NUMBER OF ROAD ACCIDENTS IN POLAND |
| title_short | THE USE OF NEURAL NETWORKS TO FORECAST THE NUMBER OF ROAD ACCIDENTS IN POLAND |
| title_sort | use of neural networks to forecast the number of road accidents in poland |
| topic | road accident pandemic forecasting neural networks |
| url | https://sjsutst.polsl.pl/archives/2023/vol118/045_SJSUTST118_2023_Gorzelanczyk.pdf |
| work_keys_str_mv | AT piotrgorzelanczyk theuseofneuralnetworkstoforecastthenumberofroadaccidentsinpoland AT piotrgorzelanczyk useofneuralnetworkstoforecastthenumberofroadaccidentsinpoland |