Traffic Congestion Analysis Based on Association Rules

被引：0
|
作者：
Gao, Lin [1 ]
Gao, Shangfei [1 ]
机构：
[1] Qingdao Univ Sci & Technol, Dept Automat, Qingdao, Peoples R China
来源：
2017 CHINESE AUTOMATION CONGRESS (CAC) | 2017年
关键词：
Association rule mining; Apriori algorithm; Traffic congestion;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the rapid development of intelligent transportation systems, modern society is at an unimaginable speed to produce massive data. How to make full use of valuable information in big data is particularly important. This paper summarizes the basic concepts of association rule mining and how to use the Apriori algorithm for correlation analysis in massive data. In addition, the Apriori algorithm is used to analyze the traffic congestion, generating the valuable information. Finally, the validity of the designed algorithm is verified by the simulation test.
引用
收藏
页码：1950 / 1954
页数：5
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