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
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;
Conference_Titel :
European Control Conference (ECC), 2003
Conference_Location :
Cambridge, UK
Print_ISBN :
978-3-9524173-7-9