Mihaylova, L., Boel, R. and Hegyi, A. (2007) Freeway traffic estimation within particle filtering framework. Automatica, 43 (2). 290 - 300. ISSN 0005-1098
Abstract
This paper formulates the problem of real-time estimation of traffic state in freeway networks by means of the particle filtering framework. A particle filter (PF) is developed based on a recently proposed speed-extended cell-transmission model of freeway traffic. 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 possibly irregular time intervals. This limits the measurement update in the PF to only these time instants when a new measurement arrives, while in between measurement updates any simulation model can be used to describe the evolution of the particles. The PF performance is validated and evaluated using synthetic and real traffic data from a Belgian freeway. An unscented Kalman filter is also presented. A comparison of the PF with the unscented Kalman filter is performed with respect to accuracy and complexity.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2007 Elsevier. This is an author produced version of a paper subsequently published in Automatica. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Bayesian estimation; particle filtering; macroscopic traffic models; stochastic systems; unscented Kalman filter |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 01 Dec 2014 09:55 |
Last Modified: | 23 Mar 2018 05:03 |
Published Version: | http://dx.doi.org/10.1016/j.automatica.2006.08.023 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | No |
Identification Number: | 10.1016/j.automatica.2006.08.023 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:82258 |