Identifying vehicle driver injury severity factors at highway-railway grade crossings using data mining algorithms

@article{Ghomi2017IdentifyingVD,
  title={Identifying vehicle driver injury severity factors at highway-railway grade crossings using data mining algorithms},
  author={Haniyeh Ghomi and Liping Fu and Morteza Bagheri and Luis Miranda-Moreno},
  journal={2017 4th International Conference on Transportation Information and Safety (ICTIS)},
  year={2017},
  pages={1054-1059}
}
The purpose of this paper is to identify vehicle driver injury severity factors of highway-railway grade crossing (HRGC) accidents in order to detect interactions as well as dissimilarities among accident factors. At this aim, data mining techniques were used to analyze the interaction of multiple factors in large databases. This paper applies Classification-Regression Tree (CART) and Association Rules algorithms on the U.S. Federal Railroad Administration (FRA) HRGC accident database for the… CONTINUE READING

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