Pattern recognition and knowledge discovery from road traffic accident data in Ethiopia: Implications for improving road safety
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86084966" target="_blank" >RIV/61989100:27240/11:86084966 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/WICT.2011.6141426" target="_blank" >http://dx.doi.org/10.1109/WICT.2011.6141426</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/WICT.2011.6141426" target="_blank" >10.1109/WICT.2011.6141426</a>
Alternative languages
Result language
angličtina
Original language name
Pattern recognition and knowledge discovery from road traffic accident data in Ethiopia: Implications for improving road safety
Original language description
This research tries to view accident data collection and analysis as a system that requires a special view towards understanding the whole and making sense out of it for improved decision making in the effort of reducing the problem of road safety. Underthe umbrella of an information architecture research for road safety in developing countries, the objective of this machine learning experimental research is to explore and predict the role of road users on possible injury risks. The research employed Classification and Adaptive Regression Trees (CART) and RandomForest approaches. To identify relevant patterns and illustrate the performance of the techniques for the road safety domain, road accident data collected from Addis Ababa Traffic Office is exposed to many sided analyses. Empirical results showed that the models could classify accidents with promising accuracy.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2011 World Congress on Information and Communication Technologies, WICT 2011
ISBN
978-1-4673-0125-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1241-1246
Publisher name
IEEE
Place of publication
Piscataway
Event location
Mumbai
Event date
Dec 11, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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