摘要
为了分析交叉口车辆运行轨迹的规律性,提高环形交叉口交织段的通行能力,提出基于时空相似系数的环形交叉口车辆轨迹聚类方法。针对规定区域车辆轨迹,分析车辆轨迹时空信息并计算得到时空相似系数,同时采用谱聚类进行聚类,将交叉口区域内一段时间内的轨迹聚类情况进行可视化展示。经过实例验证,所提出的方法能够有效地约简数据,并可提取出轨迹信息中的潜在规律,为进一步的决策工作提供一定的参考价值。
In order to analyze the rules of vehicle trajectory and so as to improve the capacity of the weaving area of roundabout,the method of vehicle trajectory clustering at roundabout is studied based on space-time similarity coefficient. The space-time information of vehicle trajectory is analyzed for the specified vehicle trajectory,and the space-time similarity coefficient is calculated and clustered by spectral clustering. The trajectory clustering in a period of time in the intersection area is visualized. It is proved that the method can effectively reduce the data and dig out the hidden rules of the trajectory information,which provides a valuable reference for further decision-making work.
作者
任柏寒
丁雪梅
孙士龙
REN Baihan;DING Xuemei;SUN Shilong(Traffic Engineering Institute,Jilin University of Architecture and Technology,Changchun 130114,China;Public Opinion Section,Baishan Internet Information Center,Baishan 134300,China)
出处
《吉林大学学报（信息科学版）》
CAS
2020年第6期640-646,共7页
Journal of Jilin University（Information Science Edition）
基金
国家自然科学基金资助项目(51308249)。
关键词
时空相似系数
谱聚类
车辆轨迹聚类
交通工程
space-time similarity coefficient
spectral clustering
vehicle trajectory clustering
traffic engineering
