DEVELOPMENT OF PASSENGER CAR SAFETY

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F23%3A00002651" target="_blank" >RIV/75081431:_____/23:00002651 - isvavai.cz</a>
Result on the web
<a href="https://www.magnanimitas.cz/ADALTA/1302/papers/J_kovac.pdf" target="_blank" >https://www.magnanimitas.cz/ADALTA/1302/papers/J_kovac.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
DEVELOPMENT OF PASSENGER CAR SAFETY
Original language description
The goal of the paper was to assess safety of passenger cars sold in the Czech Republic in terms of the development of both active and passive safety features of cars sold between 2020-2022. Using content analysis aimed at collecting secondary data, the sales of passenger cars and their safety ratings were examined. Cluster analysis and neural networks were subsequently used to classify vehicles into self-organizing Kohonen maps, within which the movement between individual clusters was monitored. It was found that more than 25 % of vehicles sold between 2021 and 2022 changed their position compared to the year 2020. When taking into account vehicles newly introduced to the market, the average level of safety of vehicles sold compared to the year 2020. Further research could focus on a more detailed analysis of factors affecting safety on roads and their quantification for making better predictions and prevention of road accidents. It should be considered that vehicle safety ratings are based on a specific methodology and criteria and can vary significantly.
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
50200 - Economics and Business

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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