聚类分析用于处理交通流信息

Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257) Pub Date : 1999-09-06 DOI:10.1109/IVEC.1999.830637

D.H. Wang, Z.S. Yang, H. Zhang

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引用次数: 7

摘要

基于交叉口交通量之间的相对关系，本文采用聚类分析的方法对交叉口进行分类。通过长春市路网数据对该方法进行了验证。这一成果可以帮助我们解决无检测器交叉口的交通量预测问题。这使得在没有足够的交叉口配备检测器的城市中实现交通流引导成为可能。同时也为战略交叉口的确定和战略交叉口的管理提供了理论依据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Cluster analysis used in dealing with traffic flow information

Based on the relative relationships between the traffic volumes of intersections, the method of cluster analysis is adopted to classify the intersections in this article. The method is verified through data from the road network of Chang Chun city. This achievement can help us to solve the problem of predicting the traffic volume of the nondetector intersections. It makes it possible to realize the traffic flow guidance in the cites which don't have enough intersections equipped with detectors. Meanwhile it can provide a theory to decide the strategic intersections and to run the strategic intersections with more attention.

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Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)

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