Distributed state and unknown input estimation for freeway traffic flow models

T. Luspay, B. Kulcsar, T. Tettamanti, I. Varga, J. Bokor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper presents a joint state and unmeasured input estimation technique for a special class of nonlinear second order macroscopic traffic model. The freeway traffic system is transformed into a quasi and affine approximate Lin- ear Parameter Varying (LPV) form. Observer design technique is formulated using off-line optimization problem subjected to Linear Matrix Inequality (LMI) conditions, considering uncertain scheduling parameters. Furthermore, locally designed state estimators are interconnected to cover multiple freeway sections. The elaborated method is validated using real traffic measurements.

Original languageEnglish
Title of host publication2009 European Control Conference, ECC 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1782-1787
Number of pages6
ISBN (Print)9783952417393
Publication statusPublished - Mar 26 2014
Event2009 10th European Control Conference, ECC 2009 - Budapest, Hungary
Duration: Aug 23 2009Aug 26 2009

Other

Other2009 10th European Control Conference, ECC 2009
CountryHungary
CityBudapest
Period8/23/098/26/09

Keywords

  • Freeway traffic modeling
  • Linear parameter varying (LPV) systems
  • State and unknown input estimation

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Luspay, T., Kulcsar, B., Tettamanti, T., Varga, I., & Bokor, J. (2014). Distributed state and unknown input estimation for freeway traffic flow models. In 2009 European Control Conference, ECC 2009 (pp. 1782-1787). [7074661] Institute of Electrical and Electronics Engineers Inc..