DocumentCode
2511441
Title
Adaptive-filtering based dynamic OD matrix estimation
Author
Dan, Meng ; Zhicai, Juan ; Hongfei, Jia
Author_Institution
Coll. of Transp., Jilin Univ., ChangChun, China
fYear
2011
fDate
23-25 May 2011
Firstpage
403
Lastpage
406
Abstract
This paper proposes one method for the dynamic origin-destination (OD) estimate. Based on the improved Sage-Husa adaptive filtering algorithm which carries on recursive filter´s observation data obtained by time-variable noise statistics estimator, estimate and revision observation noise statistical property, one can suppresses the divergence of the filter and, increase the filter precision. The experiment results indicated that this kind of method has the good performance.
Keywords
adaptive filters; matrix algebra; recursive filters; statistical analysis; Sage-Husa adaptive filtering algorithm; dynamic origin-destination estimation; matrix estimation; recursive filter observation data; revision observation noise statistical property; time-variable noise statistics estimator; Adaptive filters; Equations; Estimation; Kalman filters; Mathematical model; Transportation; Adaptive-filter; Kalman filter; dynamic OD matrix;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location
Mianyang
Print_ISBN
978-1-4244-8737-0
Type
conf
DOI
10.1109/CCDC.2011.5968212
Filename
5968212
Link To Document