智能城市2023，Vol.9Issue(11)：23-25,3.DOI:10.19301/j.cnki.zncs.2023.11.007
骑行过程中智能手机分心行为检测模型研究
Research on detection model of smartphone distraction behavior during riding
罗少鹏 1王涛 1雷胡晟1
作者信息
- 1. 桂林电子科技大学,广西 桂林 541004
- 折叠
摘要
Abstract
In order to explore the detection method of mobile phone distraction behavior during riding of electric bicycle,the mobile phone operation test task during riding was designed.The horizontal and vertical operation indexes of electric bicycle were obtained by nine-axis attitude sensor and GPS,and a difference analysis of each index was carried out to extract characteristic parameters.Using GA-RF(GA-RF)to construct the distraction behavior detection model of smart phone during riding,the validity of the model is proved by the test set.The results show that GA-RF can effectively detect the distraction state of mobile phones.The accuracy of GA-RF is 92.8%,and the F1 value is 89.8%,which are superior to the results of support vector machine(SVM).This detection model can provide theoretical basis for distraction early warning system.关键词
骑行分心/电动自行车运行特征/参数优化/随机森林模型Key words
cycling distraction/running characteristics of electric bicycle/parameter optimization/stochastic forest model分类
交通工程引用本文复制引用
罗少鹏,王涛,雷胡晟..骑行过程中智能手机分心行为检测模型研究[J].智能城市,2023,9(11):23-25,3.
