Analysis of discrete data from traffic accidents

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00476653" target="_blank" >RIV/67985556:_____/17:00476653 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SCSP.2017.7973843" target="_blank" >http://dx.doi.org/10.1109/SCSP.2017.7973843</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP.2017.7973843" target="_blank" >10.1109/SCSP.2017.7973843</a>

Result language
angličtina
Original language name
Analysis of discrete data from traffic accidents
Original language description
This paper deals with the data analysis of traffic accidents. Traffic accidents can be caused by different reasons, e.g., by watchfulness of a driver, failure of a vehicle, bad structural arrangements, etc. The aim of this paper is to investigate seriousness of incidents in dependence on different circumstances of an accident. Description of these circumstances leads to the use of a high number of different variables (about 50 variables), which are mostly discrete. The majority of statistical methods dealing with discrete variables use a frequency table. This is not suitable for traffic data because of a huge dimension. In this paper, several methods are proposed for solution to the problem with high-dimensional traffic data.
Czech name
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Czech description
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Project
<a href="/en/project/GA15-03564S" target="_blank" >GA15-03564S: Clustering and classification using recursive mixture estimation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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