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An unscented Kalman filter for freeway traffic estimation

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Publication date29/08/2006
Host publicationProceedings of the 11th IFAC Symposium on Control in Transportation Systems
PublisherIFAC
Pages31-36
Number of pages5
Original languageEnglish

Conference

Conference11th IFAC Symposium on Control in Transportation Systems
CountryNetherlands
CityDelft
Period29/08/0631/08/06

Conference

Conference11th IFAC Symposium on Control in Transportation Systems
CountryNetherlands
CityDelft
Period29/08/0631/08/06

Abstract

This paper addresses the problem of freeway tra±c flow estimation. The freeway is considered as a network of components representing different freeway stretches called segments. The evolution of the traffic in a segment is modelled as a dynamic stochastic system, influenced by states of neighbour segments. Measurements are received only at boundaries between some segments and averaged within regular time intervals. An Unscented Kalman filter is developed and its performance is compared with a particle filter both for synthetic data and for real traffc data. The intended application is to supply traffc control systems with the estimated traffc state.