Research on short-term traffic flow prediction method based on real-time traffic status

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Fang, Chao^1 ; Gao, Depan^1 ; Xue, Yaning^1 ; Xiong, Zhihua^1

School of Traffic and Transportation, Beijing Jiaotong University, Beijing

100044, China^1

关键词: Real-time traffic status;    Road loads;    Road traffic;    Road traffic flows;    Short term;    Short-term traffic flow;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/5/052062/pdf
DOI  :  10.1088/1757-899X/569/5/052062

来源: IOP

【 摘 要 】

In order to improve the accuracy of short-term traffic flow prediction, this paper focuses on the influence of road traffic status division on the accuracy of short-term traffic flow prediction. When dividing the road traffic status, the improved road load coefficient is adopted, and the kalman filter method and ARMA algorithm are selected to predict the short-term road traffic flow.