摘要
以信号交叉口行人群体为研究对象,借鉴生物界群集研究的成果,给出了行人群集的定义,同时提出群集半径的概念和向前搜索的群集半径计算方法。运用K均值聚类方法对北京市信号交叉口60 h视频资料的737个行人群集样本进行分析,得到描述行人群集的特征参数数值。研究结果表明:行人群集半径能够较好地评价我国城市信号交叉口人行横道的服务水平,可以为信号交叉口大量行人过街的控制算法和模型的研究奠定基础。
Pedestrian groups at signalized intersection were the researched object,the achievements of living things were used for reference,and the conception of pedestrian swarming was given. At the same time the conception of pedestrian swarming circus was defined. Also a method based on forward searching was provided. K-means clustering algorithm was used to analyze 737 pedestrian swarming samplings of 60 hours video data at the signalized intersection,and the values of feature parameters of different pedestrian swarming were obtained. The research result shows that pedestrian swarming circus can evaluate the level of service of pedestrian crossing at signalized intersection in China,and can make good foundation for control algorithm and model of pedestrian crossing.
出处
《重庆交通大学学报（自然科学版）》
CAS
北大核心
2015年第1期100-104,共5页
Journal of Chongqing Jiaotong University(Natural Science)
基金
国家自然科学基金项目(51108010)
关键词
交通工程
信号交叉口
行人
群集
群集半径
traffic engineering
signalized intersection
pedestrian
swarming
swarming circus
