Predicting Road Accident Counts in Poland and the Czech Republic Using Neural Network Models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F24%3A00002832" target="_blank" >RIV/75081431:_____/24:00002832 - isvavai.cz</a>
Result on the web
<a href="https://ros.edu.pl/index.php?id=1435&lang=en" target="_blank" >https://ros.edu.pl/index.php?id=1435&lang=en</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Predicting Road Accident Counts in Poland and the Czech Republic Using Neural Network Models
Original language description
Every year, there is a decline in the number of car accidents reported in Poland, the Czech Republic, and globally. While recent trends due to the pandemic have influenced these figures, the overall rate remains significant. Therefore, it is crucial to take measures aimed at reducing this number. The primary focus of this article is to analyze the traffic accident statistics for Poland and the Czech Republic. Annual data regarding traffic incidents in both countries has been scrutinized to achieve this. Projections for 2024 to 2030 have been developed based on police reports. Various neural network models were utilized to forecast the number of accidents. The findings indicate that the number of traffic incidents is likely to stabilize. This stabilization can be viewed in the context of the increasing number of vehicles on the roads and the expansion of new highways. Additionally, selecting sample sizes for training, testing, and validation is crucial in influencing the results. Forecasting the number of traffic accidents is important for environmental protection, as accidents can lead to air and water pollution and increase noise, negatively affecting human health and ecosystems.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50703 - Transport planning and social aspects of transport (transport engineering to be 2.1)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
Rocznik Ochrona Środowiska 2024, Annual Set The Environment Protection
ISSN
1506-218X
e-ISSN
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Volume of the periodical
2024
Issue of the periodical within the volume
26
Country of publishing house
PL - POLAND
Number of pages
13
Pages from-to
603-615
UT code for WoS article
001374427700002
EID of the result in the Scopus database
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