基于FP-growth的老年行人交通事故损伤致因研究
Research on traffic accident injury causation of elderly pedestrian based on FP-growth
刘永涛 1张慧臣 1袁诗泉 1高隆鑫 1王鹏 2赵晨3
作者信息
- 1. 长安大学汽车学院,陕西西安 710064
- 2. 中国汽车技术研究中心有限公司,天津 300300
- 3. 中国安全生产科学研究院,北京 100012
- 折叠
摘要
为研究老年行人交通事故相关因素及其对损伤程度的影响,以中国交通事故深度调查数据库中2013-2023年710起机动车-老年行人事故为分析对象,利用FP-growth算法挖掘出4类影响因素28个类型变量共5 594项关联规则.研究结果表明:行人年龄、碰撞速度、事故时间段及事故地点是影响老年行人事故死亡率的显著因素.特别是,行人年龄和碰撞速度对死亡率有显著影响,随着碰撞速度的增加,死亡率显著上升;60岁及以上老年行人年龄每增加1岁,其死亡率提升0.037倍.此外,事故发生在夜间、郊区或村庄的死亡率更高.研究结果可为提高老年行人交通安全,制定相关安全措施提供一定参考.
Abstract
In order to study the factors related to the traffic accidents of elderly pedestrian and their influence on injury de-gree,710 vehicle-elderly pedestrian accident cases from the China In-Depth Accident Study(CIDAS)database from 2013 to 2023 were taken as the analysis object,and a total of 5594 association rules of 28 types of variables in 4 categories of influ-encing factors were excavated by the FP-growth algorithm.The results show that the pedestrian age,collision speed,accident time,and accident location are the significant factors affecting the death rate of elderly pedestrian accidents.In particular,the pedestrian age and collision speed have significant influence on the death rate.With the increase of collision speed,the death rate increases significantly.The death rate of elderly pedestrian over 60 years old increases 0.037 times for each additional year of age.In addition,the death rate is higher when the accident occurs at night,in the suburbs or in villages.The research results can provide certain reference for improving the traffic safety of elderly pedestrians and formulating the relevant safety measures.
关键词
FP-growth算法/逻辑回归模型/老年行人安全/交通事故数据分析Key words
FP-growth algorithm/logistic regression model/elderly pedestrian safety/traffic accident data analysis引用本文复制引用
基金项目
国家重点研发计划项目(2021YFB2501202)
陕西省"两链"融合重点专项揭榜挂帅项目(2023JBGS-13)
陕西省自然科学基础研究计划项目(2023-JC-QN-0664)
长安大学中央高校基本科研业务费专项资金项目(300102223204)
出版年
2024
NETL
NSTL
万方数据