Short-term Traffic Flow and Platoon Prediction Based on the SVM with the Combined Data

被引：0
|
作者：
Lei, Wen [1 ,2 ]
Chen, Fu Yang [1 ,2 ]
Jiang, Bin [1 ,2 ]
Wang, Li [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing, Jiangsu, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Jiangsu Key Lab Internet Things & Control Technol, Nanjing 210016, Jiangsu, Peoples R China
来源：
FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY V | 2015年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A prediction method based on the support vector machine was investigated for forecasting the platoon arriving time and the traffic flow. The effect of the platoon was considered in the prediction process and the phase difference between two intersections can be adjusted by the predicted results to make the artery unblocked. The historical and intraday data were combined to predict the traffic flow. The simulation results with the practical data verify the application and effectiveness of the practical methods.
引用
收藏
页码：230 / 234
页数：5
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