DocumentCode
3462071
Title
New filtering methods for data fusion and short term forecasting for urban traffic
Author
Kümmerer, Burkhard ; Kühne, Reinhart D.
Author_Institution
Coll. of Math., Stuttgart Univ., Germany
fYear
2001
fDate
2001
Firstpage
233
Lastpage
239
Abstract
A new filtering method based on the inverse scattering theory is proposed for analysis and forecasting of urban traffic patterns. First results and a data fusion architecture are presented
Keywords
forecasting theory; road traffic; sensor fusion; traffic control; Schur-Levinson filtering method; data fusion; filtering method; forecasting; inverse scattering theory; urban traffic; urban traffic management; Civil engineering; Communication system traffic control; Educational institutions; Equations; Filtering theory; Filtration; Kalman filters; Network address translation; Telecommunication traffic; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE
Conference_Location
Oakland, CA
Print_ISBN
0-7803-7194-1
Type
conf
DOI
10.1109/ITSC.2001.948661
Filename
948661
Link To Document