现代交通技术2025，Vol.22Issue(2)：63-68,6.
混行交通流中两轮电动车换道行为分析
Analysis of Lane-changing Behaviors of Electric Two-wheelers in Mixed Traffic Flow
葛鹏 1陈梅2
作者信息
- 1. 贵州理工学院交通工程学院,贵阳 550025
- 2. 贵州财经大学发展规划处,贵阳 550025
- 折叠
摘要
Abstract
To investigate the relationship between lane-changing behavior of electric two-wheels and dynamic/static traffic environments,lane-changing data was collected using drone aerial photography followed by manual extraction on three main urban roads in Guiyang City.Thirteen types of dynamic and static traffic environments were defined.The association rule mining algorithm was employed to analyze the correlation between electric two-wheeler lane-changing behavior and traf-fic environments.Under the conditions of support＞0.1 and confidence＞0.5,15 association rules were obtained.The rules indicate that among the traffic environmental factors,slow or parked vehicles ahead and buses exiting stops are strong influencing factors for electric two-wheeler lane-changing.Additionally,a binary logistic regression model was con-structed for electric two-wheeler lane-changing behavior.The results show that factors such as slow or parked vehicles ahead,illegally parked vehicles,buses exiting stops and vehicles entering the road have significant impacts on lane-changing.The findings can assist in identifying and predicting high-risk road sections in urban areas,while also provi-ding valuable insights for traffic facility planning and management.关键词
交通管理/混行交通流/关联分析/二元逻辑回归模型Key words
traffic management/mixed traffic flow/correlation analysis/binary logistic regression model分类
交通工程引用本文复制引用
葛鹏,陈梅..混行交通流中两轮电动车换道行为分析[J].现代交通技术,2025,22(2):63-68,6.
