DocumentCode
1675189
Title
Estimate of Traffic Volume Based On Kalman Filtering Theory Under Multi-Sensors
Author
Ge, Gao ; Tianyong, Wang
Author_Institution
Sch. of Manage., Jilin Univ., Changchun
Volume
2
fYear
2006
Firstpage
1610
Lastpage
1614
Abstract
According to Kalman filter theory, this paper presents the models of multi-sensor using the data from several transport detectors aiming at the multi-sensor system during the transport information collection. Particularly we set up the fusion model for three different detection equipments, and examine the data to test that model. The conclusion shows these two models are applicable for the real condition and have the different advantages
Keywords
Kalman filters; road traffic; sensor fusion; traffic engineering computing; Kalman filtering theory; multisensor system; traffic volume estimation; transport detector; transport information collection; Cities and towns; Detectors; Filtering theory; Intelligent systems; Kalman filters; Sensor fusion; Sensor systems; Testing; Traffic control; Transportation; Kalman filter; multi-sensor; transportation information;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Systems and Service Management, 2006 International Conference on
Conference_Location
Troyes
Print_ISBN
1-4244-0450-9
Electronic_ISBN
1-4244-0451-7
Type
conf
DOI
10.1109/ICSSSM.2006.320786
Filename
4114732
Link To Document