Research on Improved Algorithm for Traffic Information Prediction

被引:0
作者
Yang, Dakai [1 ]
Wang, Li [1 ]
Wang, Jian [2 ]
Cai Baigen [2 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
[2] Beijing Jiaotong Univ, Beijing Engn Res Ctr EMC & GNSS Technol Rail Tran, Sch Elect & Informat Engn, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China
来源
PROCEEDINGS OF 2017 7TH IEEE INTERNATIONAL SYMPOSIUM ON MICROWAVE, ANTENNA, PROPAGATION, AND EMC TECHNOLOGIES (MAPE) | 2017年
关键词
Traffic Information; Simulation; Prediction; Neural Network;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Predictions for traffic conditions, especially short-term prediction, is one of the central topics in traffic information simulation and controlling relevant research and practice. However, it is not easy to select the most appropriate traffic prediction method for one particular application. In this paper we select two typical methods in this field, then compared about the advantages and disadvantages. Based on this, we provide an improved algorithm to combine the advantages of these methods. To prove the effects, some real data were adopted for the calculation and simulation which were also shown in this paper.
引用
收藏
页码:505 / 511
页数:7
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