智能城市2025，Vol.11Issue(10)：23-26,4.DOI:10.19301/j.cnki.zncs.2025.10.005
基于Apriori算法的自动驾驶接管事故影响因素关联性分析
Correlation analysis of factors affecting self-driving takeover accidents based on Apriori algorithm
汤文智1
作者信息
- 1. 桂林电子科技大学建筑与交通工程学院,广西 桂林 541004
- 折叠
摘要
Abstract
The purpose of this paper is to explore the risk factors and their interdependence of autonomous vehicle driving takeover collision accidents.The collision data of 659 autonomous vehicle released by the California Motor Vehicle Administration from January 2018 to June 2024 were collected.By using association rule mining method,identify the set of risk factors that frequently appear together in autonomous vehicle driving takeover collisions.Research has found that the risk of accidents is closely related to factors such as road design(such as the presence of a median strip and no roadside parking),weather conditions(such as humidity and dryness),and vehicle movement status(such as driving straight).For example,there is a strong bidirectional correlation between road design with a median strip and no roadside parking and driving takeover.In humid weather,one-way lane accidents are more likely to occur.The research results can provide reference for policy measures and engineering countermeasures to improve road safety and efficiency of autonomous vehicle,so as to improve the overall safety and reliability of road traffic.关键词
事故分析/关联规则/风险因素/自动驾驶汽车/驾驶接管Key words
accident analysis/association rules/risk factors/autonomous vehicle/driving takeover分类
信息技术与安全科学引用本文复制引用
汤文智..基于Apriori算法的自动驾驶接管事故影响因素关联性分析[J].智能城市,2025,11(10):23-26,4.
