DocumentCode
702130
Title
Motorway traffic state estimation based on extended Kalman filter
Author
Wang, Y. ; Papageorgiou, M. ; Messmer, A.
Author_Institution
Dynamic Systems and Simulation Laboratory, Technical University of Crete, 73100 Chania, Greece
fYear
2003
fDate
1-4 Sept. 2003
Firstpage
1934
Lastpage
1939
Abstract
This paper addresses the design of traffic state estimator for traffic flow in motorway stretches. Motorway traffic dynamics is modelled by a stochastic macroscopic traffic flow model, while a traffic state estimator is designed based on the extended-Kalman-filtering methodology. Besides the estimation of normal traffic variables, the developed traffic state estimator deals with the on-line estimation of unknown model parameters. Simulation investigations were conducted to test the traffic state estimator under various traffic conditions in a motorway stretch.
Keywords
Detectors; Fluid flow measurement; Mathematical model; Parameter estimation; State estimation; Trajectory; Motorway; extended Kalman filter; stochastic macroscopic traffic flow model; traffic state estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
European Control Conference (ECC), 2003
Conference_Location
Cambridge, UK
Print_ISBN
978-3-9524173-7-9
Type
conf
Filename
7085249
Link To Document