Optimizing traffic accident loss predictions in China: Integrating importance indicator screening with the ET model for greater accuracy and stability
This study confirms the effectiveness of integrating feature importance screening with the Extra Trees model for predicting traffic accident losses. The methodology not only enhances prediction accuracy but also ensures stable performance across different accident indicators. The quantitative assessment of indicator importance offers valuable insights into the factors contributing to accident severity and provides a data-driven foundation for traffic safety policy and planning.
Authors
- Jian Liu (ORCID: https://orcid.org/0000-0002-5049-3849)
- Jingyuan Zhang (ORCID: https://orcid.org/0000-0003-4223-2793)
- Bin Lyu
- Rui Feng (ORCID: https://orcid.org/0000-0003-0425-2611)
Institutions
- Beijing Electronic Science and Technology Institute (CN)
- Ministry of Education (IR)
- University of Science and Technology Beijing (CN)
Publication Details
- Journal
- Traffic Injury Prevention
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1080/15389588.2025.2530074
- Primary Topic
- Traffic and Road Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Fundamental Research Funds for the Central Universities