Inducement analysis of taxi drivers' traffic accidents based on MIMIC and machine learning
|更新时间:2025-05-26
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Inducement analysis of taxi drivers' traffic accidents based on MIMIC and machine learning
“In the field of traffic safety, researchers analyzed the impact of perceived physical fatigue and risky driving behavior on traffic accidents using the MIMIC model, and verified the effects of gender, age, and work pressure on these factors. Meanwhile, using machine learning algorithms to predict taxi accidents, it was found that the random forest model had the best performance.”
Journal of Jilin University(Engineering and Technology Edition)Vol. 53, Issue 2, Pages: 457-467(2023)
PAN Heng-yan,ZHANG Wen-hui,LIANG Ting-ting,et al.Inducement analysis of taxi drivers' traffic accidents based on MIMIC and machine learning[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(02):457-467.
PAN Heng-yan,ZHANG Wen-hui,LIANG Ting-ting,et al.Inducement analysis of taxi drivers' traffic accidents based on MIMIC and machine learning[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(02):457-467. DOI: 10.13229/j.cnki.jdxbgxb20210614.
Inducement analysis of taxi drivers' traffic accidents based on MIMIC and machine learning