首页|高速路匝道汇入路段驾驶风格

高速路匝道汇入路段驾驶风格

扫码查看
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.
Research on driving style of expressway ramp entrance section
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.

driving styleNGSIM datasetfactor analysisK-means clustering

叶明、甘静、胡海玉、隋毅、杨金才

展开 >

重庆理工大学车辆工程学院,重庆 400054

重庆科技学院机械与动力工程学院,重庆 401331

长城汽车股份有限公司,河北保定 071000

驾驶风格 NGSIM数据集 因子分析 K-means聚类

重庆市自然科学基金面上项目

cstc2019jcyjmsxmX0076

2024

重庆理工大学学报
重庆理工大学

重庆理工大学学报

CSTPCD北大核心
影响因子:0.567
ISSN:1674-8425
年,卷(期):2024.38(1)
  • 9