高速路匝道汇入路段驾驶风格
Research on driving style of expressway ramp entrance section
叶明 1甘静 1胡海玉 1隋毅 2杨金才3
作者信息
- 1. 重庆理工大学车辆工程学院,重庆 400054
- 2. 重庆科技学院机械与动力工程学院,重庆 401331
- 3. 长城汽车股份有限公司,河北保定 071000
- 折叠
摘要
为分析驾驶人在高速路匝道汇入路段的驾驶风格,基于NGSIM数据集进行研究.为保证数据准确性,对数据平滑处理后,设置时空约束剔除异常数据得到匝道汇入合流区的车辆轨迹数据;首先采用因子分析法对原始多维特征进行降维处理得到可完整表征驾驶风格的5个主因子;其次使用K-means算法对主因子进行聚类得到谨慎型、稳健型和激进型3种驾驶风格,并对比降维前后的识别结果.结果表明,在匝道汇入合流区路段,激进型驾驶风格更倾向于在短时间内连续换道,并且在整个匝道汇入的过程中与前车的车头间距更小.
Abstract
To analyze the driving style of drivers at the on-ramp junction of the expressway,this paper employs the NGSIM dataset.To ensure the accuracy of data,spatiotemporal constraints are set to eliminate abnormal data and the smoothed trajectory data in on-ramp merging area are obtained.First,factor analysis(FA)method is employed to reduce the dimensionality of the original multidimensional features and five major factors well represented in the driving style are obtained.Second,the K-means algorithm is used to cluster the principal factors and three driving styles are identified:cautious,prudent and aggressive driving.The recognition results before and after FA are compared.Our results show in aggressive driving,continuous lane-change within a short period of time and the smaller headway during the whole ramp merging process are more likely to occur.
关键词
驾驶风格/NGSIM数据集/因子分析/K-means聚类Key words
driving style/NGSIM dataset/factor analysis/K-means clustering引用本文复制引用
基金项目
重庆市自然科学基金面上项目(cstc2019jcyjmsxmX0076)
出版年
2024
国家科技期刊平台
NSTL
万方数据