聚类方法在交通流模式识别中的适用性研究

2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF) Pub Date : 2020-06-01 DOI:10.1109/WECONF48837.2020.9131435

M. Gorodnichev, A. Dotkulova, K. Dzhabrailov, A. A. Izotova, Ринат Гематудинов

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引用次数: 0

摘要

本工作致力于研究聚类分析在交通流中嵌入关系的适用性。作为这项工作的结果，开发了通过机器学习来预测流体饱和度变化的软件。

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The Study of the Applicability of Clustering Methods to Identify Patterns in Traffic Flows

This work is devoted to the study of the applicability of cluster analysis to embed relationships in traffic flows. As a result of this work, software was developed to predict the change in flow saturation through machine learning.

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来源期刊

2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)

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