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Dynamic Traffic Reconstruction using Probe Vehicles
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0002-9432-254X
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0001-9940-5929
2020 (English)In: 2020 59th IEEE Conference on Decision and Control (CDC), Institute of Electrical and Electronics Engineers Inc. , 2020, Vol. 2020, p. 233-238, article id 9304446Conference paper, Published paper (Refereed)
Abstract [en]

This article deals with the observation problem in traffic flow theory. The model used is the quasiilinear 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.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020. Vol. 2020, p. 233-238, article id 9304446
Series
Proceedings of the IEEE Conference on Decision and Control, ISSN 0743-1546 ; 2020
Keywords [en]
Partial differential equations, Dynamic boundary, Dynamic traffic, Exponential convergence, Finite-time convergence, Observation errors, Probe vehicles, Traffic flow theory, Viscous Burgers equation, Probes
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-291167DOI: 10.1109/CDC42340.2020.9304446ISI: 000717663400028Scopus ID: 2-s2.0-85097969868OAI: oai:DiVA.org:kth-291167DiVA, id: diva2:1536594
Conference
59th IEEE Conference on Decision and Control, CDC 2020; Virtual, Jeju Island; South Korea; 14 December 2020 through 18 December 2020
Note

QC 20220927

Available from: 2021-03-11 Created: 2021-03-11 Last updated: 2022-09-27Bibliographically approved

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Barreau, MatthieuJohansson, Karl H.

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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Output format
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  • asciidoc
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