Motorway traffic state estimation based on extended Kalman filter
Y. Wang, Markos Papageorgiou, Albert Meßmer
Abstract
Y. Wang, Markos Papageorgiou, Albert Meßmer
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.
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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.
Key concepts: Kalman filter, Estimator, Traffic flow (computer networking), Computer science, Microscopic traffic flow model, State (computer science), Traffic generation model, Extended Kalman filter