Barreau, M., Selivanov, A. orcid.org/0000-0001-5075-7229 and Johansson, K.H. (2021) Dynamic traffic reconstruction using probe vehicles. In: 2020 59th IEEE Conference on Decision and Control (CDC). 2020 59th IEEE Conference on Decision and Control (CDC), 14-18 Dec 2020, Virtual conference. IEEE (Institute of Electrical and Electronics Engineers) , pp. 233-238. ISBN 9781728174488
Abstract
This article deals with the observation problem in traffic flow theory. The model used is the quasilinear viscous Burgers equation. Instead of using the traditional fixed sensors to estimate the state of the traffic at given points, the measurements here are obtained from Probe Vehicles (PVs). We propose then a moving dynamic boundary observer whose boundaries are defined by the trajectories of the PVs. The main result of this article is the exponential convergence of the observation error, and, in some cases, its finite-time convergence. Finally, numerical simulations show that it is possible to observe the traffic in the congested, free-flow, and mixed regimes provided that the number of PVs is large enough.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
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: | 10 Jun 2021 08:55 |
Last Modified: | 11 Jan 2022 01:39 |
Status: | Published |
Publisher: | IEEE (Institute of Electrical and Electronics Engineers) |
Refereed: | Yes |
Identification Number: | 10.1109/cdc42340.2020.9304446 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:174907 |