About: Pattern recognition and knowledge discovery from road traffic accident data in Ethiopia: Implications for improving road safety     Goto   Sponge   NotDistinct   Permalink

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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. Under the 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.
  • 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. Under the 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. (en)
Title
  • Pattern recognition and knowledge discovery from road traffic accident data in Ethiopia: Implications for improving road safety
  • Pattern recognition and knowledge discovery from road traffic accident data in Ethiopia: Implications for improving road safety (en)
skos:prefLabel
  • Pattern recognition and knowledge discovery from road traffic accident data in Ethiopia: Implications for improving road safety
  • Pattern recognition and knowledge discovery from road traffic accident data in Ethiopia: Implications for improving road safety (en)
skos:notation
  • RIV/61989100:27240/11:86084966!RIV13-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 219733
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/11:86084966
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Road Safety; , Road Accident; RandomForest; CART (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F172068CA24B]
http://linked.open...v/mistoKonaniAkce
  • Mumbai
http://linked.open...i/riv/mistoVydani
  • Piscataway
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 2011 World Congress on Information and Communication Technologies, WICT 2011
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Abraham Padath, Ajith
  • Krömer, Pavel
  • Snášel, Václav
  • Beshah, Tibebe
  • Ejigu, Dejene
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/WICT.2011.6141426
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4673-0125-1
http://localhost/t...ganizacniJednotka
  • 27240
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