A practical kalman filter model of short term traffic forecasting of urban ring road

被引：0
|
作者：
Wang, Jun [1 ]
Guan, Wei [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China
来源：
WMSCI 2006: 10TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL III, PROCEEDINGS | 2006年
关键词：
kalman filter; traffic forecast; forecast model; ARIMA;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a model of dynamic real-time forecasting of urban ring road traffic flow base on Kalman filter is proposed, and the traffic flow data of Beijing Third-Ring-Road (BTRR) are explored to test the validity of the model and a ARIMA model is used to compare with the results obtained by Kalman filter. The experimental results show that the forecasting data obtained by the model correspond to the actual data basically, the recursion arithmetic of the model is suitable for computer programming.
引用
收藏
页码：94 / +
页数：3
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