摘要
城市道路交通网络拥挤区域的自动识别问题本质上可描述为区域聚类问题。研究给出基于地理信息系统的三步骤拥挤区域自动识别方法:首先,将城市路网划分为尽量小的区域;而后,完成对小区域交通运行状况的评价;最后,进行拥挤区域的聚类识别。研究重点对拥挤区域聚类识别方法进行分析,指出已有动态聚类方法不稳定的缺陷,提出拥挤区域稳定识别结果的邻边聚类法。
The urban traffic congestion area automatic identification problem is essentially an area cluster analysis problem. Three-step method of congestion area identification is proposed based on geographical information system(GIS). Firstly, the road network is divided into small areas. Secondly, the service level of every small area is evaluated. Finally, clustering identification of congestion areas is completed. The research focus is analyzing the clustering identification method of congestion area, which presents that the unstable disadvantage of existed dynamic clustering methods, and provides the neighboring clustering method for congestion areas to indentify the results stably.
出处
《中国市政工程》
2016年第1期1-3,共3页
China Municipal Engineering
基金
国家自然科学基金(51208379)
关键词
拥挤区域
自动识别
聚类分析
动态聚类法
邻边聚类法
congestion area
automatic identification
clustering analysis
dynamic clustering method
neighboring clustering method
