关键词: 事故预测；融合数据；预测模型；实例分析

Abstract: In view of the strong correlation between drivers' driving behavior and road traffic accidents, driver accident prediction and risk assessment are conducive to hierarchical management and early warning of drivers, thus reducing accidents, and are widely used in automobile insurance companies, passenger and freight transport operating enterprises and other fields. This paper summarizes the research on accident and accident severity prediction based on fused data with accident data as the main body. First, it introduces the process of accident consequence prediction, then introduces the tree models used by many scholars in the field of accident consequence prediction, including decision tree, random forest and XGBoost, and then realizes and compares the three models based on fused data containing accident data in a city. Finally, it looks forward to the research on accident consequence prediction.

Key words: Accident prediction; Fusion data; Prediction model; Case analysis