Title :
A real-time isoparametric traffic volume prediction model based on the Kalman filtering theory
Author :
Zhong, Zhu ; Zhaosheng, Yang
Author_Institution :
Bengbu Inst. of Transp. Manage., Anhui, China
fDate :
6/21/1905 12:00:00 AM
Abstract :
In this paper, a traffic volume prediction model is formulated through Kalman filtering theory. The traffic volumes of the next time interval are forecasted with the detected data collected in Changchun, China, which shows that the prediction model has good performance in real-time prediction
Keywords :
Kalman filters; control system analysis; filtering theory; traffic control; China; Kalman filtering theory; real-time isoparametric traffic volume prediction model; real-time prediction performance; Cities and towns; Covariance matrix; Data models; Equations; Filtering theory; Intelligent transportation systems; Kalman filters; Predictive models; Technology management; Traffic control;
Conference_Titel :
Vehicle Electronics Conference, 1999. (IVEC '99) Proceedings of the IEEE International
Conference_Location :
Changchun
Print_ISBN :
0-7803-5296-3
DOI :
10.1109/IVEC.1999.830634
