Optimizing traffic accident loss predictions in China: Integrating importance indicator screening with the ET model for greater accuracy and stability.

Journal: Traffic injury prevention
Published Date: Aug 8, 2025

Abstract

OBJECTIVE: This study aims to enhance the accuracy and stability of traffic accident loss prediction in China by utilizing machine learning techniques. Specifically, it explores the application of the Extra Trees model combined with feature importance screening to predict key accident indicators such as the number of accidents, deaths, injuries, and property losses.

Authors

  • Jian Liu
    Department of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
  • Bin Lyu
    Department of Gastroenterology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, Zhejiang Province, China.
  • Rui Feng
    Department of Pharmacy, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
  • Jingyuan Zhang
    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China.

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