%0 Journal Article
%T Study of urban traffic congestion judgment based on FFCM clustering<br>基于FFCM聚类的城市交通拥堵判别研究
%A YANG Zu-yuan
%A HUANG Xi-yue
%A DU Chang-hai
%A TANG Ming-xia
%A <br>杨祖元
%A 黄席樾
%A 杜长海
%A 唐明霞
%J 计算机应用研究
%D 2008
%I 
%X In order to solve the problem of urban traffic congestion judgment,a fast fuzzy C-means(FFCM) clustering method integrating hard C-means clustering method and fuzzy C-means clustering method was put forward.In this algorithm,the result of HCM clustering is the basis of the initial value of FFCM,which can speed-up its convergence.Then it's applied to a set of real traffic flow data.The clustering result shows that this method enjoy good performance in fast and effective distinguishing urban traffic congestion and will contribute to dynamic traffic congestion warning and traffic guidance.
%K urban traffic
%K fast fuzzy clustering
%K traffic congestion judgment<br>城市交通
%K 快速模糊聚类
%K 拥堵判别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=BBF0D78C1D83157D5DE9F793A2739D92&yid=67289AFF6305E306&vid=C5154311167311FE&iid=9CF7A0430CBB2DFD&sid=2855A37868816BE0&eid=94C88B5D697EEAE6&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8