Analysis of discrete data from traffic accidents

0476653 - ÚTIA 2018 RIV US eng C - Conference Paper (international conference)
Pecherková, Pavla - Nagy, Ivan
Analysis of discrete data from traffic accidents.
2017 Smart City Symposium Prague (SCSP). Piscataway: IEEE, 2017, č. článku 7973843. ISBN 978-1-5386-3826-2.
[2017 Smart City Symposium Prague (SCSP). Prague (CZ), 25.05.2017-26.05.2017]
R&D Projects: GA ČR GA15-03564S
Institutional support: RVO:67985556
Keywords : data analysis * multivariate analysis * traffic accident
OECD category: Applied mathematics
http://library.utia.cas.cz/separaty/2017/ZS/pecherkova-0476653.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0273535