Identification method of high-risk traffic personnel based on xgboost algorithm
A person identification and high-risk technology, which is applied in the field of traffic high-risk person identification, can solve problems such as shortage, achieve the effects of preventing over-fitting, alleviating model accuracy, and ensuring the accuracy of recognition
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[0047] A method for identifying high-risk traffic persons based on the XgBoost algorithm, which extracts the characteristic attributes of traffic participants' safety behaviors from traffic violation records and trains the model to realize the identification of high-risk persons and safety risk prediction; figure 1 , the specific method flow is:
[0048] S1. Based on the original traffic violation data and accident data, construct violation data sets, serious accident data sets, and minor accident data sets.
[0049] In the embodiment, the original traffic violation data and accident data in step S1 include relevant personnel certificate information; the violation data set is obtained after preprocessing operations such as collection and classification of the original violation records; the violation data set is the full sample data of personnel violation records , the data set information includes the personnel certificate number, the number of violations, the type of violati...
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