Using feature selection to reduce the complexity in analyzing the injury severity of traffic accidents

Jo Ting Wei, Hsin Hung Wu, Kuang Yang Kou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

When analyzing the traffic accidents in terms of predicting injury severity, past studies often use too many variables and thus lead to over fitting and complicate the interpretation of the analysis. By adopting feature selection technique, irrelevant and redundant features from a dataset will be filtered out such that high discrimination power and informative features will be provided. This paper selects twenty eight factors by adopting feature selection to analyze the injury severity of traffic accidents in Taiwan. The method facilitates to reduce the complexity of analyzing the injury severity of traffic accidents. The findings show that nineteen factors are classified into important; one is categorized as marginal; and five are grouped into unimportant.

Original languageEnglish
Title of host publicationProceedings - 2011 International Joint Conference on Service Sciences, IJCSS 2011
Pages329-333
Number of pages5
DOIs
Publication statusPublished - 2011 Sep 5
Event2011 International Joint Conference on Service Sciences, IJCSS 2011 - Taipei, Taiwan
Duration: 2011 May 252011 May 27

Publication series

NameProceedings - 2011 International Joint Conference on Service Sciences, IJCSS 2011

Other

Other2011 International Joint Conference on Service Sciences, IJCSS 2011
CountryTaiwan
CityTaipei
Period11-05-2511-05-27

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All Science Journal Classification (ASJC) codes

  • Management of Technology and Innovation

Cite this

Wei, J. T., Wu, H. H., & Kou, K. Y. (2011). Using feature selection to reduce the complexity in analyzing the injury severity of traffic accidents. In Proceedings - 2011 International Joint Conference on Service Sciences, IJCSS 2011 (pp. 329-333). [5960374] (Proceedings - 2011 International Joint Conference on Service Sciences, IJCSS 2011). https://doi.org/10.1109/IJCSS.2011.73