An Urban Traffic Prediction Model Based on Temporal Data Mining in Shanghai City

被引：0
|
作者：
Hong, Chen [1 ]
机构：
[1] Nanjing Inst Ind Technol, Nanjing, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE ON COMMUNICATION, ELECTRONICS AND AUTOMATION ENGINEERING | 2013年 / 181卷
关键词：
Urban traffic management; Short-term prediction; Data mining;
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：
A temporal data mining method was used to develop a short-term urban traffic flow volume prediction model in a signalized controlling situation, where the next green light phase traffic flow volume of a crossing entrance is predicted by historical green light phase traffic flow volume data of itself and upstream crossing entrances. An experiment is given, and the result is satisfying.
引用
收藏
页码：633 / 639
页数：7
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