Analysis of traffic accident influencing factors in plateau areas based on the Apriori algorithm

In order to deeply analyze the influencing factors of road traffic accidents and their potential interconnections, this study selected 3,291 road traffic accidents that occurred in Yunnan Province from 2013 to 2023 as the research subjects. The study approached from five dimensions: driver, environment, road, accident participants, and accident outcomes, and applied the Apriori association algorithm in data mining algorithms to conduct an in-depth association analysis on multiple attributes such as the occurrence time, accident form, road type, and accident causes of road traffic accidents in Yunnan Province, revealing the internal connections between them. The results show that the occurrence of severe accidents is the result of the combined effects of multi-dimensional influencing factors.