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
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;
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
DOI :
10.1109/ICSSSM.2006.320786
