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Real-time freeway traffic state estimation based on extended Kalman filter: a general approach

Author
YIBING WANG1 ; PAPAGEORGIOU, Markos1
[1] Dynamic Systems and Simulation Laboratory, Technical University of Crete, 73100 Chania, Greece
Source

Transportation research. Part B : methodological. 2005, Vol 39, Num 2, pp 141-167, 27 p ; ref : 23 ref

CODEN
TRBMDY
ISSN
0191-2615
Scientific domain
Transportation
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Extended Kalman filter Freeway Model parameter estimation Stochastic macroscopic traffic flow model Traffic state estimation
Keyword (fr)
Application Autoroute Ecoulement trafic Estimation paramètre Filtre Kalman Modèle dynamique Modèle stochastique Sensibilité Simulation Temps réel Trafic routier
Keyword (en)
Application Freeway Traffic flow Parameter estimation Kalman filter Dynamic model Stochastic model Sensitivity Simulation Real time Road traffic
Keyword (es)
Aplicación Autopista Flujo tráfico Estimación parámetro Filtro Kalman Modelo dinámico Modelo estocástico Sensibilidad Simulación Tiempo real Tráfico carretera
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D15 Ground, air and sea transportation, marine construction / 001D15B Transportation planning, management and economics

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D15 Ground, air and sea transportation, marine construction / 001D15C Road transportation and traffic

Discipline
Building. Public works. Transport. Civil engineering
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16216936

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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